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Лучшие презентации на тему «Математика» на английском, страница 1
N-ary relations and their applications. (Rosen 8.2)
N-ary relations and their applications. (Rosen 8.2)
Sine, cosine, radians
Sine, cosine, radians
Parametric Linear Programming
Parametric Linear Programming
Graph theory irina prosvirnina. Definitions and examples. Paths and cycles
Graph theory irina prosvirnina. Definitions and examples. Paths and cycles
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
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Discrete mathematics. Probability
Discrete mathematics. Probability
Solving linear recurrence relations
Solving linear recurrence relations
Geometrical shapes
Geometrical shapes
The mean values
The mean values
Measures of variation. Week 4 (2)
Measures of variation. Week 4 (2)
Conditional Probabilities Statistical Independence. Week 6 (1)
Conditional Probabilities Statistical Independence. Week 6 (1)
Suboptimal control in the stochastic nonlinear dynamic systems
Suboptimal control in the stochastic nonlinear dynamic systems
Clipping summary
Clipping summary
Hypothesis testing for proportions. Essential statistics
Hypothesis testing for proportions. Essential statistics
Ryspekov’s Fibonacci sequence formula Global Revival
Ryspekov’s Fibonacci sequence formula Global Revival
Collision Detection
Collision Detection
Ryspekov’s Fibonacci sequence formula
Ryspekov’s Fibonacci sequence formula
Area Ecosystem Population
Area Ecosystem Population
Matrix Equations and Systems of Linear Equations
Matrix Equations and Systems of Linear Equations
Derivatives of Products and Quotients
Derivatives of Products and Quotients
Random variables
Random variables
Getting your data: Sources and samples
Getting your data: Sources and samples
Mathematical Induction
Mathematical Induction
Index of Refraction
Index of Refraction
The Distribution of Molecules over Velocities Maxwell Distribution
The Distribution of Molecules over Velocities Maxwell Distribution
Confidence interval estimation
Confidence interval estimation
Vectors and the geometry of space
Vectors and the geometry of space
Santas sleigh. Game
Santas sleigh. Game
Types of variables. Input. Class Math. Lesson 2
Types of variables. Input. Class Math. Lesson 2
Median, Bisector, Height of triangle
Median, Bisector, Height of triangle
Sign of equality of triangles. lesson 2
Sign of equality of triangles. lesson 2
Line in the Plane. Lecture 10
Line in the Plane. Lecture 10
Linear Regression. Linear Regression with Gradient Descent. Regularization. Lecture 4.2
Linear Regression. Linear Regression with Gradient Descent. Regularization. Lecture 4.2
CENG 789 – Digital Geometry Processing
CENG 789 – Digital Geometry Processing
The linear programming. (Lecture 5)
The linear programming. (Lecture 5)
Linear regression with multiple variables
Linear regression with multiple variables
The circle, the circumference and their elements. The central angle
The circle, the circumference and their elements. The central angle
Transactions and database integrity
Transactions and database integrity
Computation on arbitrary surfaces
Computation on arbitrary surfaces
Solving linear recurrence relations
Solving linear recurrence relations
The Simple Regression Model
The Simple Regression Model
Measures of dispersion. Lecture 3
Measures of dispersion. Lecture 3
CRC Encoding - Recab
CRC Encoding - Recab
Number systems
Number systems
Determinants, their properties. Minors and cofactors. Lecture 2
Determinants, their properties. Minors and cofactors. Lecture 2
Credit and exam
Credit and exam
Linear Regression Models (II). Week 8
Linear Regression Models (II). Week 8
Chapter 1. Functions
Chapter 1. Functions
Filtering II - frequency response and stability
Filtering II - frequency response and stability
Linear Algebra. Chapter 5. Eigenvalues and Eigenvectors
Linear Algebra. Chapter 5. Eigenvalues and Eigenvectors
Matrix form of the force method. Compliance Matrix. Lecture 12
Matrix form of the force method. Compliance Matrix. Lecture 12
Bites and Bytes
Bites and Bytes
Statistics for business and economics. Chapter
Statistics for business and economics. Chapter
Outline. Basic de nitions (Lecture 1)
Outline. Basic de nitions (Lecture 1)
Enlargement and similarity exemplar questions and answers
Enlargement and similarity exemplar questions and answers
Algebra Reference
Algebra Reference
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
Samara National Research University Fundamentals of the theory of aerodynamic calculations of rockets (practical lesson)
Samara National Research University Fundamentals of the theory of aerodynamic calculations of rockets (practical lesson)
Pie charts
Pie charts
Rehabilitation
Rehabilitation
Discrete Mathematics Sets
Discrete Mathematics Sets
Probability theory. Probability Distributions Statistical Entropy
Probability theory. Probability Distributions Statistical Entropy
The travelling salesman problem
The travelling salesman problem
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Solving linear recurrence relations
Solving linear recurrence relations
Panel.Methods
Panel.Methods
Forecasting with bayesian techniques MP
Forecasting with bayesian techniques MP
Repeated games. (Lecture 6)
Repeated games. (Lecture 6)
Introductory statistics
Introductory statistics
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Mathematics for Computing. Lecture 2: Logarithms and indices
Mathematics for Computing. Lecture 2: Logarithms and indices
SAT and model checking
SAT and model checking
Differential calculus of the function of one variable
Differential calculus of the function of one variable
Introduction to Statistics. Week 1 (2)
Introduction to Statistics. Week 1 (2)
Introduction to Statistics. Week 1 (1)
Introduction to Statistics. Week 1 (1)
Types of Data – categorical data. Week 2 (1)
Types of Data – categorical data. Week 2 (1)
Empirical rule - Probabilities. Week 5 (1)
Empirical rule - Probabilities. Week 5 (1)
Maths puzzles
Maths puzzles
Solving Systems of Equations using Elimination
Solving Systems of Equations using Elimination
Drawing triangles
Drawing triangles
The Gilbert-Johnson-Keerthi (GJK) Algorithm
The Gilbert-Johnson-Keerthi (GJK) Algorithm
Trigonometry. Angles add to 180°
Trigonometry. Angles add to 180°
Matrices: Basic Operations
Matrices: Basic Operations
Mathematical Induction
Mathematical Induction
D2D wireless connection modeling for moving devices in 5G technology
D2D wireless connection modeling for moving devices in 5G technology
Evolution strategies. Chapter 4
Evolution strategies. Chapter 4
Scalars, vectors and tensors
Scalars, vectors and tensors
Triangle. Inequalities
Triangle. Inequalities
Introductory Statistics 1. AP Statistics
Introductory Statistics 1. AP Statistics
Discrete mathematics. Sets
Discrete mathematics. Sets
The mean
The mean
Numeral system
Numeral system
Decimals
Decimals
Determinants
Determinants
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
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