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Лучшие презентации на тему «Математика» за неделю на английском
Постороение сечений
Постороение сечений
Matematika taqdimot 13.03.2025 KRK - 20.03.2025 KRS
Matematika taqdimot 13.03.2025 KRK - 20.03.2025 KRS
Linear Algebra. Chapter 3. Determinants
Linear Algebra. Chapter 3. Determinants
Ratio and fractions. Exemplar, questions and answers
Ratio and fractions. Exemplar, questions and answers
Introduction to probability
Introduction to probability
Santas sleigh. Game
Santas sleigh. Game
Stolz-Cesaro Theorem
Stolz-Cesaro Theorem
Expert judgment method. (Lecture 1-4)
Expert judgment method. (Lecture 1-4)
Model Parameterization in tomography problems. Lecture 4
Model Parameterization in tomography problems. Lecture 4
Measure in metres and centimetres
Measure in metres and centimetres
Numbers 11-20
Numbers 11-20
Empirical rule - Probabilities. Week 5 (1)
Empirical rule - Probabilities. Week 5 (1)
Practical application of the method of Kona-Shema. Pseudopotentials method
Practical application of the method of Kona-Shema. Pseudopotentials method
Thanksgiving
Thanksgiving
Method of undetermined coefficients
Method of undetermined coefficients
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
Modelling with Exponentials and Logarithms
Modelling with Exponentials and Logarithms
Inverse of a Square Matrix
Inverse of a Square Matrix
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
Solid Modeling
Solid Modeling
Theory without practice is empty, practice without theory is blind
Theory without practice is empty, practice without theory is blind
Computation on arbitrary surfaces
Computation on arbitrary surfaces
Random signals
Random signals
Link multiplication and division
Link multiplication and division
Combinatorics. Permutations. Combinations. The binomial theorem
Combinatorics. Permutations. Combinations. The binomial theorem
Решение уравнений sinx=a. Понятие арксинуса числа
Решение уравнений sinx=a. Понятие арксинуса числа
Lecture 6 – Integrals
Lecture 6 – Integrals
Systems of linear algebraic equations
Systems of linear algebraic equations
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Y3 Autumn Block 3 TS1 Multiplication equal groups
Y3 Autumn Block 3 TS1 Multiplication equal groups
Geometric Constructions. Lecture 3 b
Geometric Constructions. Lecture 3 b
Vectors and the geometry of space
Vectors and the geometry of space
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
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Types of Data – categorical data. Week 2 (1)
Types of Data – categorical data. Week 2 (1)
Measures of variation. Week 4 (2)
Measures of variation. Week 4 (2)
Matlab Linear Programming
Matlab Linear Programming
The Chain Rule
The Chain Rule
Introduction to vectors
Introduction to vectors
Determinants
Determinants
Introduction to probability quantitative methods
Introduction to probability quantitative methods
Linear Regression and Correlation Analysis
Linear Regression and Correlation Analysis
Listening numbers
Listening numbers
Essensials of Mathematics
Essensials of Mathematics
L'Hopital's Rule
L'Hopital's Rule
Forecasting with bayesian techniques MP
Forecasting with bayesian techniques MP
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
Discrete mathematics. Probability
Discrete mathematics. Probability
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Math end algebra. Vector
Math end algebra. Vector
Mathematical Induction
Mathematical Induction
Geometric Modeling - Parametric Representation of Synthetic Curves
Geometric Modeling - Parametric Representation of Synthetic Curves
Discrete mathematics
Discrete mathematics
Vectors. Lecture 9
Vectors. Lecture 9
Introduction to statistics
Introduction to statistics
Neutrino Properties on the Basis of Neutrinoless
Neutrino Properties on the Basis of Neutrinoless
Linear Equations in Linear Algebra
Linear Equations in Linear Algebra
Y3 Spring Block 1 TS10 Scaling
Y3 Spring Block 1 TS10 Scaling
Intro to Geometric Modeling (GM)
Intro to Geometric Modeling (GM)
Correlation and Regression
Correlation and Regression
Introduction to Statistics
Introduction to Statistics
Linear Algebra. Chapter 1. Matrix Algebra
Linear Algebra. Chapter 1. Matrix Algebra
Linear Algebra. Lecture 2
Linear Algebra. Lecture 2
сечение куба
сечение куба
Parametric Linear Programming
Parametric Linear Programming
Evolutionary games. (Lecture 7)
Evolutionary games. (Lecture 7)
Basics of functions and their graphs
Basics of functions and their graphs
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Measures of variation. Week 4 (1)
Measures of variation. Week 4 (1)
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)
Suboptimal control in the stochastic nonlinear dynamic systems
Suboptimal control in the stochastic nonlinear dynamic systems
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Conditional probability and the multiplication rule
Conditional probability and the multiplication rule
Drawing triangles
Drawing triangles
Coordinate Geometry
Coordinate Geometry
Matrix Equations and Systems of Linear Equations
Matrix Equations and Systems of Linear Equations
Functions of Random Variables 2. Method of Distribution Functions
Functions of Random Variables 2. Method of Distribution Functions
Probability theory. Probability Distributions Statistical Entropy
Probability theory. Probability Distributions Statistical Entropy
Разработка программы для нахождения корней уравнения методом половинного деления или другим методом
Разработка программы для нахождения корней уравнения методом половинного деления или другим методом
Deriving quadratic equations
Deriving quadratic equations
Inverse of the matrix A
Inverse of the matrix A
Confidence interval estimation
Confidence interval estimation
Exploring Assumptions Normality and Homogeneity of Variance
Exploring Assumptions Normality and Homogeneity of Variance
Linear Algebra. Lecture 5
Linear Algebra. Lecture 5
Vectors and the geometry of space. Lecture 10.b
Vectors and the geometry of space. Lecture 10.b
Databases Design. Introduction to SQL. Relational algebra
Databases Design. Introduction to SQL. Relational algebra
Vaths. Properties of Shapes
Vaths. Properties of Shapes
Linear Algebra. Lecture 2
Linear Algebra. Lecture 2
Numbers and animals
Numbers and animals
Matrix Algebra аnd Simultaneous Linear Equations. Lecture 10
Matrix Algebra аnd Simultaneous Linear Equations. Lecture 10
Rank of a matrix. Theorem of Kronecker-Capelli
Rank of a matrix. Theorem of Kronecker-Capelli
Functions Defined on General Sets (section 7.1)
Functions Defined on General Sets (section 7.1)
Random signals II
Random signals II
Моделирование кривых и поверхностей. Сплайны
Моделирование кривых и поверхностей. Сплайны
Calculation of continuous beams by the force method. Main system. Lecture 11
Calculation of continuous beams by the force method. Main system. Lecture 11
Differential equations. Lecture 1
Differential equations. Lecture 1
Discrete probability distributions (chapter 5)
Discrete probability distributions (chapter 5)
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)
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