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Лучшие презентации на тему «Математика» на английском, страница 1
Differential equations. Lecture 1
Differential equations. Lecture 1
Outline. Basic de nitions (Lecture 1)
Outline. Basic de nitions (Lecture 1)
How can I multiply numbers?
How can I multiply numbers?
Pythagoras’ theorem
Pythagoras’ theorem
Ratio and Proportion Exemplar Questions and Answers
Ratio and Proportion Exemplar Questions and Answers
Algebra Reference
Algebra Reference
Linear Equations in Linear Algebra
Linear Equations in Linear Algebra
Linear algebra. Lecture 3
Linear algebra. Lecture 3
CS240A: Conjugate Gradients and the Model Problem
CS240A: Conjugate Gradients and the Model Problem
Adomian decomposition method for solving twodimensional nonlinear Volterra fuzzy integral equations
Adomian decomposition method for solving twodimensional nonlinear Volterra fuzzy integral equations
In the second part, Sue talks about the secret of a really good presentation and developing a sales pitch. Lesson 11
In the second part, Sue talks about the secret of a really good presentation and developing a sales pitch. Lesson 11
Solution methods for bilevel optimization
Solution methods for bilevel optimization
Mathematics for еconomists. (Week 1-12)
Mathematics for еconomists. (Week 1-12)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
The travelling salesman problem
The travelling salesman problem
Sine, cosine, radians
Sine, cosine, radians
Forecasting with bayesian techniques MP
Forecasting with bayesian techniques MP
Economics of pricing and decision making. (Lecture 1)
Economics of pricing and decision making. (Lecture 1)
Evolutionary game theory. (Lecture 11)
Evolutionary game theory. (Lecture 11)
Sequential games. Empirical evidence and bargaining. (Lecture 5)
Sequential games. Empirical evidence and bargaining. (Lecture 5)
Evolutionary games. (Lecture 7)
Evolutionary games. (Lecture 7)
Communication and signaling. (Lecture 8)
Communication and signaling. (Lecture 8)
Mechanism design. (Lecture 9)
Mechanism design. (Lecture 9)
Discrete Mathematics Sets
Discrete Mathematics Sets
The normal distribution
The normal distribution
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Methods of proof
Methods of proof
Mathematics for Computing. Lecture 2: Logarithms and indices
Mathematics for Computing. Lecture 2: Logarithms and indices
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
ARCH and GARCH. Modeling Volatility Dynamics
ARCH and GARCH. Modeling Volatility Dynamics
SAT and model checking
SAT and model checking
Introduction to Statistics. Week 1 (2)
Introduction to Statistics. Week 1 (2)
Types of Data – categorical data. Week 2 (1)
Types of Data – categorical data. Week 2 (1)
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Random variables – discrete random variables. Week 6 (2)
Random variables – discrete random variables. Week 6 (2)
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Maths puzzles
Maths puzzles
Matlab Linear Programming
Matlab Linear Programming
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Assessing and comparing classification algorithms
Assessing and comparing classification algorithms
Descriptive statistics
Descriptive statistics
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Clipping summary
Clipping summary
Conditional probability and the multiplication rule
Conditional probability and the multiplication rule
Introduction to normal distributions
Introduction to normal distributions
Hypothesis testing for proportions. Essential statistics
Hypothesis testing for proportions. Essential statistics
Solution methods for bilevel optimization
Solution methods for bilevel optimization
Basic arithmetic
Basic arithmetic
Coordinate Geometry
Coordinate Geometry
Math end algebra. Vector
Math end algebra. Vector
Arithmetic fundamentals of number systems
Arithmetic fundamentals of number systems
Matrices: Basic Operations
Matrices: Basic Operations
The Chain Rule
The Chain Rule
Derivatives of Products and Quotients
Derivatives of Products and Quotients
Random variables
Random variables
Areas of Prisms
Areas of Prisms
Pyramid. Right and Oblique Pyramids
Pyramid. Right and Oblique Pyramids
Polyhedron. Prisms
Polyhedron. Prisms
Figures of matching
Figures of matching
Turing machine
Turing machine
Also known as Hysterical Calculus
Also known as Hysterical Calculus
Mathematical Induction
Mathematical Induction
D2D wireless connection modeling for moving devices in 5G technology
D2D wireless connection modeling for moving devices in 5G technology
Graph theory
Graph theory
Evolutionary algorithms
Evolutionary algorithms
Functions of Random Variables 2. Method of Distribution Functions
Functions of Random Variables 2. Method of Distribution Functions
Angles. Types of angles
Angles. Types of angles
Nonlinearities of the third order
Nonlinearities of the third order
Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication
Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication
Probability Concepts
Probability Concepts
Math equations
Math equations
Hypothesis testing
Hypothesis testing
Intro to Geometric Modeling (GM)
Intro to Geometric Modeling (GM)
Trigonometriýa
Trigonometriýa
Introductory Statistics 1. AP Statistics
Introductory Statistics 1. AP Statistics
Normal Probability Distributions
Normal Probability Distributions
The solution of linear algebraic equation set
The solution of linear algebraic equation set
Solid geometry
Solid geometry
Vectors and the geometry of space
Vectors and the geometry of space
Graphs and Multigraphs
Graphs and Multigraphs
Santas sleigh. Game
Santas sleigh. Game
Functions and their graphs
Functions and their graphs
The mean
The mean
Simplify logical expressions
Simplify logical expressions
Probability Random Variables Preparatory Notes
Probability Random Variables Preparatory Notes
Transformations of block diagram
Transformations of block diagram
Basic dynamic elements
Basic dynamic elements
Straight lines and Linear Equations
Straight lines and Linear Equations
In elementary algebra, the binomial
In elementary algebra, the binomial
Decimals
Decimals
Factorising Quadratics
Factorising Quadratics
Determinants
Determinants
Decimals
Decimals
Types of variables. Input. Class Math. Lesson 2
Types of variables. Input. Class Math. Lesson 2
Сonstructive problems on divisibility, prime and composite numbers
Сonstructive problems on divisibility, prime and composite numbers
Relational algebra. Lecture 8
Relational algebra. Lecture 8
Measuring Inequality. An examination of the purpose and techniques of inequality measurement
Measuring Inequality. An examination of the purpose and techniques of inequality measurement
Introduction to Statistics
Introduction to Statistics
Correlation Regression
Correlation Regression
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