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Лучшие презентации на тему «Математика» за месяц 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
Numbers 11-20
Numbers 11-20
Stolz-Cesaro Theorem
Stolz-Cesaro Theorem
Model Parameterization in tomography problems. Lecture 4
Model Parameterization in tomography problems. Lecture 4
Measure in metres and centimetres
Measure in metres and centimetres
Expert judgment method. (Lecture 1-4)
Expert judgment method. (Lecture 1-4)
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
Method of undetermined coefficients
Method of undetermined coefficients
Thanksgiving
Thanksgiving
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
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
Solid Modeling
Solid Modeling
Theory without practice is empty, practice without theory is blind
Theory without practice is empty, practice without theory is blind
Link multiplication and division
Link multiplication and division
Determinants
Determinants
Combinatorics. Permutations. Combinations. The binomial theorem
Combinatorics. Permutations. Combinations. The binomial theorem
Modelling with Exponentials and Logarithms
Modelling with Exponentials and Logarithms
Computation on arbitrary surfaces
Computation on arbitrary surfaces
Решение уравнений sinx=a. Понятие арксинуса числа
Решение уравнений sinx=a. Понятие арксинуса числа
Systems of linear algebraic equations
Systems of linear algebraic equations
Random signals
Random signals
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
Inverse of a Square Matrix
Inverse of a Square Matrix
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
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)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
The Chain Rule
The Chain Rule
Geometric Modeling - Parametric Representation of Synthetic Curves
Geometric Modeling - Parametric Representation of Synthetic Curves
Vectors. Lecture 9
Vectors. Lecture 9
Linear Regression and Correlation Analysis
Linear Regression and Correlation Analysis
Lecture 6 – Integrals
Lecture 6 – Integrals
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Listening numbers
Listening numbers
Essensials of Mathematics
Essensials of Mathematics
Vectors and the geometry of space. Lecture 10.b
Vectors and the geometry of space. Lecture 10.b
L'Hopital's Rule
L'Hopital's Rule
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
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
Math end algebra. Vector
Math end algebra. Vector
Functions of Random Variables 2. Method of Distribution Functions
Functions of Random Variables 2. Method of Distribution Functions
Inverse of the matrix A
Inverse of the matrix A
Introduction to vectors
Introduction to vectors
Introduction to statistics
Introduction to statistics
Neutrino Properties on the Basis of Neutrinoless
Neutrino Properties on the Basis of Neutrinoless
Y3 Spring Block 1 TS10 Scaling
Y3 Spring Block 1 TS10 Scaling
Descriptive statistics
Descriptive statistics
Intro to Geometric Modeling (GM)
Intro to Geometric Modeling (GM)
Vectors and the geometry of space
Vectors and the geometry of space
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
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)
Conditional probability and the multiplication rule
Conditional probability and the multiplication rule
Drawing triangles
Drawing triangles
Hypothesis Testing with Two Samples
Hypothesis Testing with Two Samples
Coordinate Geometry
Coordinate Geometry
Mathematical Induction
Mathematical Induction
Probability theory. Probability Distributions Statistical Entropy
Probability theory. Probability Distributions Statistical Entropy
Deriving quadratic equations
Deriving quadratic equations
Confidence interval estimation
Confidence interval estimation
Discrete mathematics
Discrete mathematics
Exploring Assumptions Normality and Homogeneity of Variance
Exploring Assumptions Normality and Homogeneity of Variance
Linear Algebra. Lecture 5
Linear Algebra. Lecture 5
Databases Design. Introduction to SQL. Relational algebra
Databases Design. Introduction to SQL. Relational algebra
Introduction to probability quantitative methods
Introduction to probability quantitative methods
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
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)
Linear Equations in Linear Algebra
Linear Equations in Linear Algebra
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)
Constructing Expressions 8th grade
Constructing Expressions 8th grade
Functions and models
Functions and models
Math and Art
Math and Art
Boolean Algebra and Reduction Techniques Lecture 4 Digital Electronics
Boolean Algebra and Reduction Techniques Lecture 4 Digital Electronics
Решение уравнений sinx=a. Понятие арксинуса числа
Решение уравнений sinx=a. Понятие арксинуса числа
The binomial model for option pricing
The binomial model for option pricing
Mixed strategy Nash equilibrium. (Lecture 3)
Mixed strategy Nash equilibrium. (Lecture 3)
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
Probabilistic Models. Chapter 11
Probabilistic Models. Chapter 11
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