This document discusses simplifying complex rational expressions, which have numerators or denominators containing fractions. It provides two methods for simplification:
1) Multiplying the numerator and denominator by the lowest common denominator to clear fractions. Examples and steps are shown.
2) Dividing the numerator by the denominator after collecting like terms. An example problem is worked through to demonstrate the process. Objectives and learning outcomes are stated to guide readers.
Special topics about stocks and bonds using algebraRomualdoDayrit1
This document discusses adding and subtracting rational expressions. It begins by explaining how to add or subtract rational expressions with the same denominator by combining numerators, and how to find the least common denominator when denominators are different. Several examples are provided of adding and subtracting rational expressions with the same or different denominators. Special cases like subtracting expressions with two terms in the numerator and expressions with opposite denominators are also demonstrated. The objectives are to be able to add and subtract rational expressions and find least common denominators.
This document discusses cost estimation methods including engineering estimates, account analysis, and statistical analysis using regression. It provides examples of estimating costs for a new computer repair center using these different methods. Specifically, it walks through estimating fixed and variable costs using account analysis of the repair center's actual cost data. It then uses this data to estimate costs through regression analysis and interpret the regression output, including identifying potential problems with regression data like nonlinear relationships, outliers, and spurious relationships. The overall document provides an overview of cost estimation techniques and applying them to a case example.
Mr. Sanket Chordiya presented on optimization techniques like factorial design and fractional factorial design. He introduced key terminology used in design of experiments like factors, levels, responses, effects and interactions. Full factorial design involves studying all possible factors and levels, while fractional factorial design is used when there are many factors to reduce the number of experiments. Software like Design-Expert can be used to design factorial experiments and analyze results. Factorial designs find applications in formulation, processing, and studying pharmacokinetic parameters. A case study on sustained release metformin tablets was presented to illustrate a 23 factorial design.
This document provides an overview of key concepts in regression analysis, including simple and multiple linear regression models. It outlines 10 learning objectives for the chapter, which cover topics like developing regression equations from sample data, interpreting regression outputs, assessing model fit, and addressing violations of regression assumptions. The document also includes sample regression calculations and residual plots for a case study on predicting home renovation sales from area payroll levels.
This document discusses simplifying complex rational expressions, which have numerators or denominators containing fractions. It provides two methods for simplification:
1) Multiplying the numerator and denominator by the lowest common denominator to clear fractions. Examples and steps are shown.
2) Dividing the numerator by the denominator after collecting like terms. An example problem is worked through to demonstrate the process. Objectives and learning outcomes are stated to guide readers.
Special topics about stocks and bonds using algebraRomualdoDayrit1
This document discusses adding and subtracting rational expressions. It begins by explaining how to add or subtract rational expressions with the same denominator by combining numerators, and how to find the least common denominator when denominators are different. Several examples are provided of adding and subtracting rational expressions with the same or different denominators. Special cases like subtracting expressions with two terms in the numerator and expressions with opposite denominators are also demonstrated. The objectives are to be able to add and subtract rational expressions and find least common denominators.
This document discusses cost estimation methods including engineering estimates, account analysis, and statistical analysis using regression. It provides examples of estimating costs for a new computer repair center using these different methods. Specifically, it walks through estimating fixed and variable costs using account analysis of the repair center's actual cost data. It then uses this data to estimate costs through regression analysis and interpret the regression output, including identifying potential problems with regression data like nonlinear relationships, outliers, and spurious relationships. The overall document provides an overview of cost estimation techniques and applying them to a case example.
Mr. Sanket Chordiya presented on optimization techniques like factorial design and fractional factorial design. He introduced key terminology used in design of experiments like factors, levels, responses, effects and interactions. Full factorial design involves studying all possible factors and levels, while fractional factorial design is used when there are many factors to reduce the number of experiments. Software like Design-Expert can be used to design factorial experiments and analyze results. Factorial designs find applications in formulation, processing, and studying pharmacokinetic parameters. A case study on sustained release metformin tablets was presented to illustrate a 23 factorial design.
This document provides an overview of key concepts in regression analysis, including simple and multiple linear regression models. It outlines 10 learning objectives for the chapter, which cover topics like developing regression equations from sample data, interpreting regression outputs, assessing model fit, and addressing violations of regression assumptions. The document also includes sample regression calculations and residual plots for a case study on predicting home renovation sales from area payroll levels.
Section 13.1 greatest common factor; factoring by groupingGlenSchlee
The document discusses techniques for factoring polynomials, including:
1) Finding the greatest common factor (GCF) of a list of numbers or terms by writing them in prime factored form and identifying the common factors.
2) Factoring out the GCF of a polynomial by writing it as a product of the GCF and remaining terms.
3) Factoring polynomials using grouping, which involves grouping terms with common factors and then factoring the groups.
This document provides an overview of how to model and solve linear programming (LP) problems using spreadsheets. It discusses the steps to implement an LP model in a spreadsheet, including organizing the data, reserving cells for decision variables, and creating formulas for the objective function and constraints. The document then provides examples of modeling various LP problems, such as production planning, transportation, and blending, in spreadsheets. Guidelines for effective spreadsheet design to ensure communication, reliability, auditability and modifiability are also presented.
The document discusses the binomial theorem, which provides a formula for expanding binomial expressions of the form (a + b)^n. It gives the formula for finding the coefficient of the term containing b^r as nCr. Several examples are worked out applying the binomial theorem to expand binomial expressions and find specific terms. Factorial notation is introduced for writing the coefficients. The document also discusses using calculators and Desmos to evaluate binomial coefficients. Practice problems are assigned from previous sections.
Smarter Measure ReflectionThis reflection paper is to be typed a.docxbudabrooks46239
Smarter Measure Reflection
This reflection paper is to be typed after completing the Smarter Measure assessment. The Smarter Measure assessment can be found on MyJeffco in the Online Support tab. To log in type jconline as the username and type connect as the password.
Once you have completed the assessment, type a one to two page double spaced reflection using 12 point font about the results of the Smarter Measure assessment. Your reflection must include an introduction paragraph and a summary paragraph. Illustrate your general statements with examples whenever possible, utilize logical transitions from one topic to another, and try to be as concise and clear in your comments as possible. You will need to address the following topics in your reflection:
· Strengths and weaknesses as indicated by scores in specific areas
· Plans to improve areas of weakness
· Readiness to take online courses
Scoring Guide
Name _________________________________________________________________
Met Well
Met with concern
Not Met
Teacher Comments
Introduction Paragraph
Clear topic sentence; Well thought out paragraph
5
Topic sentence is vague and lacks content
3
No introduction paragraph
0
Strengths & Weaknesses
Strengths & Weaknesses are discussed with clear examples
5
Strengths or Weaknesses are not discussed and/or ¶ lacks clear examples
3
Strengths & Weaknesses are not discussed
0
Plans to improve weaknesses
Plans to improve weaknesses are discussed with clear examples
5
Plans to improve weaknesses are vague and/or ¶ lacks clear examples
3
Plans to improve weaknesses are not discussed
0
Readiness to take online courses
Readiness to take online courses are discussed with clear examples
5
Readiness to take online courses is vague and/or ¶ lacks clear examples
3
Readiness to take online courses is not discusses
0
Conclusion Paragraph
Closing summary is complete; Well thought out paragraph 5
Vague summary of content
3
No conclusion paragraph
0
Spelling & Grammar
No spelling or grammatical errors
5
4-5 spelling or grammatical errors
3
More than 5 spelling or grammatical errors
0
Math 1431 Page 1 of 5 Section 1.2 Exercises
Section 1.2 – Exercises
In Exercises 1-4, given the value of c and the graph of the function f , find lim ( )
x c
f x
.
1. c = 1 2. c = 2
3. c = 1 4. c = 4
Math 1431 Page 2 of 5 Section 1.2 Exercises
In Exercises 5-12, given the graph of a function f , use the graph to find (a) lim ( )
x c
f x
(b) lim ( )
x c
f x
(c) lim ( )
x c
f x
(d) ( )f c .
5. c = 1
6. c = 2
7. c = 2
8. c = 1
Math 1431 Page 3 of 5 Section 1.2 Exercises
9. c = 2
10. c = 3
11. c = 4
12. c = 1
Math 1431 Page 4 of 5 Section 1.2 Exercises
In Exe.
The document describes building regression and classification models in R, including linear regression, generalized linear models, decision trees, and random forests. It uses examples of CPI data to demonstrate linear regression and predicts CPI values in 2011. For classification, it builds a decision tree model on the iris dataset using the party package and visualizes the tree. The document provides information on evaluating and comparing different models.
This document contains examples and solutions for problems involving the normal distribution. It begins with an example that converts x-values to z-values using the formula z = (x - μ)/σ. Several examples then demonstrate finding probabilities associated with various z-values. The document concludes with examples applying the normal distribution to real-world contexts like credit card debt, assembly times, soda filling, and product lifespans.
Fuzzified pso for multiobjective economic load dispatch problemeSAT Journals
This document presents a fuzzy particle swarm optimization method for solving a multi-objective economic load dispatch problem. The problem involves minimizing four objectives: fuel cost, transmission losses, emission levels, and stability index. The objectives are first optimized individually, then fuzzified and combined into a single objective using membership functions. Particle swarm optimization is then used to find a set of generator outputs and control settings that provide a trade-off solution across all the objectives. The method is tested on the IEEE 30-bus system, with results presented showing the final optimized settings and objective values achieved.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples are provided to illustrate key concepts like evaluating limits, identifying discontinuities, and using continuity to solve nonlinear inequalities.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples are provided to illustrate key concepts like evaluating limits, identifying discontinuities, and using continuity to solve nonlinear inequalities.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples are provided to illustrate key concepts like evaluating limits, identifying discontinuities, and using continuity to solve nonlinear inequalities.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples show how to use the definition of a limit to evaluate various types of limits and test continuity.
Linear programming is a technique for choosing the optimal alternative from a set of feasible options to maximize or minimize an objective function subject to constraints. It involves decision variables, an objective function expressed as a linear combination of the variables, and constraints on the variables. The optimal solution can be found graphically or using the simplex method. Graphically, the feasible region is identified and the point optimizing the objective function chosen. Binding constraints affect the optimal solution, while non-binding and redundant constraints do not.
This document outlines course material for Operations Research. It covers linear programming models, including graphical and simplex methods for solving linear programs. Specific chapters outlined include linear programming introduction and formulation, the simplex method, duality, transportation and network models. Examples of linear programming problems are provided, such as production planning, diet formulation, and blending problems. The key concepts of decision variables, objectives, and constraints in linear programming are defined.
This chapter discusses integration, including defining indefinite integrals, evaluating definite integrals, and techniques for integration. The key topics covered include:
- Defining antiderivatives and indefinite integrals, and using properties like linearity to evaluate integrals.
- Applying integration to solve problems involving rates of change, such as calculating total cost from a marginal cost function.
- Evaluating definite integrals to find the area under a curve over a specified interval.
- Covering techniques for integrating common functions like polynomials, exponentials, and logarithms using rules like power, substitution and integration by parts.
This chapter discusses integration, including defining indefinite integrals, evaluating definite integrals, and techniques for integration. The key topics covered include:
- Defining antiderivatives and indefinite integrals, and using properties like ∫(f(x))' dx = f(x)
- Evaluating definite integrals using properties like the Fundamental Theorem of Integral Calculus
- Integration techniques like using substitution, integration by parts, and trigonometric substitutions
- Applying integrals to real-world applications like finding the area under a curve, consumers' and producers' surplus, and cost functions
This chapter discusses integration, including defining indefinite integrals, evaluating definite integrals, and techniques for integration. The key topics covered include:
- Defining antiderivatives and indefinite integrals, and using properties like linearity to evaluate integrals.
- Applying integration to solve problems involving rates of change, such as calculating total cost from a marginal cost function.
- Evaluating definite integrals to find the area under a curve over a specified interval.
- Developing techniques for integrating functions, including using substitution and recognizing patterns that apply formulas like the power rule for integration.
This document covers solving logarithmic and exponential equations. It begins with examples of solving exponential equations by isolating the exponential term, taking logarithms of both sides, and then solving for the variable. Subsequent examples show solving equations with different bases by first rewriting them in exponential form using logarithm properties. The last example demonstrates using the product and quotient rules for logarithms to solve equations.
This document discusses linear equations and functions. It provides examples of solving linear equations, including special cases where equations have no solution or infinitely many solutions. Applications involving linear models for distance, rate, and time as well as simple interest are presented. The key concepts of zeros of linear functions and finding the zero of a given linear function are also covered.
This a set of slides explaining the search methods by
Gradient Descent
Simulated Annealing
Hill Climbing
They are still not great, but they are good enough
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
Mais conteúdo relacionado
Semelhante a Differentiation Business Mathematics ppt
Section 13.1 greatest common factor; factoring by groupingGlenSchlee
The document discusses techniques for factoring polynomials, including:
1) Finding the greatest common factor (GCF) of a list of numbers or terms by writing them in prime factored form and identifying the common factors.
2) Factoring out the GCF of a polynomial by writing it as a product of the GCF and remaining terms.
3) Factoring polynomials using grouping, which involves grouping terms with common factors and then factoring the groups.
This document provides an overview of how to model and solve linear programming (LP) problems using spreadsheets. It discusses the steps to implement an LP model in a spreadsheet, including organizing the data, reserving cells for decision variables, and creating formulas for the objective function and constraints. The document then provides examples of modeling various LP problems, such as production planning, transportation, and blending, in spreadsheets. Guidelines for effective spreadsheet design to ensure communication, reliability, auditability and modifiability are also presented.
The document discusses the binomial theorem, which provides a formula for expanding binomial expressions of the form (a + b)^n. It gives the formula for finding the coefficient of the term containing b^r as nCr. Several examples are worked out applying the binomial theorem to expand binomial expressions and find specific terms. Factorial notation is introduced for writing the coefficients. The document also discusses using calculators and Desmos to evaluate binomial coefficients. Practice problems are assigned from previous sections.
Smarter Measure ReflectionThis reflection paper is to be typed a.docxbudabrooks46239
Smarter Measure Reflection
This reflection paper is to be typed after completing the Smarter Measure assessment. The Smarter Measure assessment can be found on MyJeffco in the Online Support tab. To log in type jconline as the username and type connect as the password.
Once you have completed the assessment, type a one to two page double spaced reflection using 12 point font about the results of the Smarter Measure assessment. Your reflection must include an introduction paragraph and a summary paragraph. Illustrate your general statements with examples whenever possible, utilize logical transitions from one topic to another, and try to be as concise and clear in your comments as possible. You will need to address the following topics in your reflection:
· Strengths and weaknesses as indicated by scores in specific areas
· Plans to improve areas of weakness
· Readiness to take online courses
Scoring Guide
Name _________________________________________________________________
Met Well
Met with concern
Not Met
Teacher Comments
Introduction Paragraph
Clear topic sentence; Well thought out paragraph
5
Topic sentence is vague and lacks content
3
No introduction paragraph
0
Strengths & Weaknesses
Strengths & Weaknesses are discussed with clear examples
5
Strengths or Weaknesses are not discussed and/or ¶ lacks clear examples
3
Strengths & Weaknesses are not discussed
0
Plans to improve weaknesses
Plans to improve weaknesses are discussed with clear examples
5
Plans to improve weaknesses are vague and/or ¶ lacks clear examples
3
Plans to improve weaknesses are not discussed
0
Readiness to take online courses
Readiness to take online courses are discussed with clear examples
5
Readiness to take online courses is vague and/or ¶ lacks clear examples
3
Readiness to take online courses is not discusses
0
Conclusion Paragraph
Closing summary is complete; Well thought out paragraph 5
Vague summary of content
3
No conclusion paragraph
0
Spelling & Grammar
No spelling or grammatical errors
5
4-5 spelling or grammatical errors
3
More than 5 spelling or grammatical errors
0
Math 1431 Page 1 of 5 Section 1.2 Exercises
Section 1.2 – Exercises
In Exercises 1-4, given the value of c and the graph of the function f , find lim ( )
x c
f x
.
1. c = 1 2. c = 2
3. c = 1 4. c = 4
Math 1431 Page 2 of 5 Section 1.2 Exercises
In Exercises 5-12, given the graph of a function f , use the graph to find (a) lim ( )
x c
f x
(b) lim ( )
x c
f x
(c) lim ( )
x c
f x
(d) ( )f c .
5. c = 1
6. c = 2
7. c = 2
8. c = 1
Math 1431 Page 3 of 5 Section 1.2 Exercises
9. c = 2
10. c = 3
11. c = 4
12. c = 1
Math 1431 Page 4 of 5 Section 1.2 Exercises
In Exe.
The document describes building regression and classification models in R, including linear regression, generalized linear models, decision trees, and random forests. It uses examples of CPI data to demonstrate linear regression and predicts CPI values in 2011. For classification, it builds a decision tree model on the iris dataset using the party package and visualizes the tree. The document provides information on evaluating and comparing different models.
This document contains examples and solutions for problems involving the normal distribution. It begins with an example that converts x-values to z-values using the formula z = (x - μ)/σ. Several examples then demonstrate finding probabilities associated with various z-values. The document concludes with examples applying the normal distribution to real-world contexts like credit card debt, assembly times, soda filling, and product lifespans.
Fuzzified pso for multiobjective economic load dispatch problemeSAT Journals
This document presents a fuzzy particle swarm optimization method for solving a multi-objective economic load dispatch problem. The problem involves minimizing four objectives: fuel cost, transmission losses, emission levels, and stability index. The objectives are first optimized individually, then fuzzified and combined into a single objective using membership functions. Particle swarm optimization is then used to find a set of generator outputs and control settings that provide a trade-off solution across all the objectives. The method is tested on the IEEE 30-bus system, with results presented showing the final optimized settings and objective values achieved.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples are provided to illustrate key concepts like evaluating limits, identifying discontinuities, and using continuity to solve nonlinear inequalities.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples are provided to illustrate key concepts like evaluating limits, identifying discontinuities, and using continuity to solve nonlinear inequalities.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples are provided to illustrate key concepts like evaluating limits, identifying discontinuities, and using continuity to solve nonlinear inequalities.
This document summarizes Chapter 10 from a mathematics textbook. The chapter covers limits and continuity. It introduces limits, such as one-sided limits and limits at infinity. It defines continuity as a function being continuous at a point if the limit exists and is equal to the function value. Discontinuities can occur if a limit does not exist or is infinite. The chapter applies limits and continuity to solve inequalities involving polynomials and rational functions. Examples show how to use the definition of a limit to evaluate various types of limits and test continuity.
Linear programming is a technique for choosing the optimal alternative from a set of feasible options to maximize or minimize an objective function subject to constraints. It involves decision variables, an objective function expressed as a linear combination of the variables, and constraints on the variables. The optimal solution can be found graphically or using the simplex method. Graphically, the feasible region is identified and the point optimizing the objective function chosen. Binding constraints affect the optimal solution, while non-binding and redundant constraints do not.
This document outlines course material for Operations Research. It covers linear programming models, including graphical and simplex methods for solving linear programs. Specific chapters outlined include linear programming introduction and formulation, the simplex method, duality, transportation and network models. Examples of linear programming problems are provided, such as production planning, diet formulation, and blending problems. The key concepts of decision variables, objectives, and constraints in linear programming are defined.
This chapter discusses integration, including defining indefinite integrals, evaluating definite integrals, and techniques for integration. The key topics covered include:
- Defining antiderivatives and indefinite integrals, and using properties like linearity to evaluate integrals.
- Applying integration to solve problems involving rates of change, such as calculating total cost from a marginal cost function.
- Evaluating definite integrals to find the area under a curve over a specified interval.
- Covering techniques for integrating common functions like polynomials, exponentials, and logarithms using rules like power, substitution and integration by parts.
This chapter discusses integration, including defining indefinite integrals, evaluating definite integrals, and techniques for integration. The key topics covered include:
- Defining antiderivatives and indefinite integrals, and using properties like ∫(f(x))' dx = f(x)
- Evaluating definite integrals using properties like the Fundamental Theorem of Integral Calculus
- Integration techniques like using substitution, integration by parts, and trigonometric substitutions
- Applying integrals to real-world applications like finding the area under a curve, consumers' and producers' surplus, and cost functions
This chapter discusses integration, including defining indefinite integrals, evaluating definite integrals, and techniques for integration. The key topics covered include:
- Defining antiderivatives and indefinite integrals, and using properties like linearity to evaluate integrals.
- Applying integration to solve problems involving rates of change, such as calculating total cost from a marginal cost function.
- Evaluating definite integrals to find the area under a curve over a specified interval.
- Developing techniques for integrating functions, including using substitution and recognizing patterns that apply formulas like the power rule for integration.
This document covers solving logarithmic and exponential equations. It begins with examples of solving exponential equations by isolating the exponential term, taking logarithms of both sides, and then solving for the variable. Subsequent examples show solving equations with different bases by first rewriting them in exponential form using logarithm properties. The last example demonstrates using the product and quotient rules for logarithms to solve equations.
This document discusses linear equations and functions. It provides examples of solving linear equations, including special cases where equations have no solution or infinitely many solutions. Applications involving linear models for distance, rate, and time as well as simple interest are presented. The key concepts of zeros of linear functions and finding the zero of a given linear function are also covered.
This a set of slides explaining the search methods by
Gradient Descent
Simulated Annealing
Hill Climbing
They are still not great, but they are good enough
Semelhante a Differentiation Business Mathematics ppt (20)
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Easily Verify Compliance and Security with Binance KYCAny kyc Account
Use our simple KYC verification guide to make sure your Binance account is safe and compliant. Discover the fundamentals, appreciate the significance of KYC, and trade on one of the biggest cryptocurrency exchanges with confidence.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
https://rb.gy/usj1a2
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
How to Implement a Strategy: Transform Your Strategy with BSC Designer's Comp...Aleksey Savkin
The Strategy Implementation System offers a structured approach to translating stakeholder needs into actionable strategies using high-level and low-level scorecards. It involves stakeholder analysis, strategy decomposition, adoption of strategic frameworks like Balanced Scorecard or OKR, and alignment of goals, initiatives, and KPIs.
Key Components:
- Stakeholder Analysis
- Strategy Decomposition
- Adoption of Business Frameworks
- Goal Setting
- Initiatives and Action Plans
- KPIs and Performance Metrics
- Learning and Adaptation
- Alignment and Cascading of Scorecards
Benefits:
- Systematic strategy formulation and execution.
- Framework flexibility and automation.
- Enhanced alignment and strategic focus across the organization.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdfthesiliconleaders
In the recent edition, The 10 Most Influential Leaders Guiding Corporate Evolution, 2024, The Silicon Leaders magazine gladly features Dejan Štancer, President of the Global Chamber of Business Leaders (GCBL), along with other leaders.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
The APCO Geopolitical Radar - Q3 2024 The Global Operating Environment for Bu...APCO
The Radar reflects input from APCO’s teams located around the world. It distils a host of interconnected events and trends into insights to inform operational and strategic decisions. Issues covered in this edition include:
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
3. These slides have been adapted from:
Haeussler, Jr. E.F., Paul, R. S., Wood, R. J. (2019).
Introductory Mathematical Analysis for Business,
Economics, and the Life and Social Sciences. 14th.
Ontario: Pearson.
Chapter 11
Acknowledgement
4. Learning Outcomes
After studying this chapter, the students should
be able to :
• LO 1: Identify the concept of mathematics in
business decision making
• LO 2: Explain the mathematics analysis concept
properly in business decision making
• LO 3: Apply mathematics concept and critical
thinking to solve economics and business problem
in business decision making
26. Haeussler, Jr. E.F., Paul, R. S., Wood, R. J. (2019).
Introductory Mathematical Analysis for
Business, Economics, and the Life and Social
Sciences. 14th. Ontario: Pearson.
References
Notas do Editor
If this PowerPoint presentation contains mathematical equations, you may need to check that your computer has the following installed:
1) Math Type Plugin
2) Math Player (free versions available)
3) NVDA Reader (free versions available)