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Постороение сечений
Постороение сечений
Numbers 11-20
Numbers 11-20
Ratio and fractions. Exemplar, questions and answers
Ratio and fractions. Exemplar, questions and answers
Santas sleigh. Game
Santas sleigh. Game
Linear Algebra. Chapter 3. Determinants
Linear Algebra. Chapter 3. Determinants
Matematika taqdimot 13.03.2025 KRK - 20.03.2025 KRS
Matematika taqdimot 13.03.2025 KRK - 20.03.2025 KRS
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
Introduction to probability
Introduction to probability
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
Expert judgment method. (Lecture 1-4)
Expert judgment method. (Lecture 1-4)
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Theory without practice is empty, practice without theory is blind
Theory without practice is empty, practice without theory is blind
Modelling with Exponentials and Logarithms
Modelling with Exponentials and Logarithms
Computation on arbitrary surfaces
Computation on arbitrary surfaces
Introduction to statistics
Introduction to statistics
Combinatorics. Permutations. Combinations. The binomial theorem
Combinatorics. Permutations. Combinations. The binomial theorem
Y3 Autumn Block 3 TS1 Multiplication equal groups
Y3 Autumn Block 3 TS1 Multiplication equal groups
Solid Modeling
Solid Modeling
Geometric Modeling - Parametric Representation of Synthetic Curves
Geometric Modeling - Parametric Representation of Synthetic Curves
Introduction to vectors
Introduction to vectors
Решение уравнений sinx=a. Понятие арксинуса числа
Решение уравнений sinx=a. Понятие арксинуса числа
Functions and models
Functions and models
Determinants
Determinants
Inverse of a Square Matrix
Inverse of a Square Matrix
Differential equations. Lecture 1
Differential equations. Lecture 1
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Hypothesis Testing with Two Samples
Hypothesis Testing with Two Samples
Math end algebra. Vector
Math end algebra. Vector
Stolz-Cesaro Theorem
Stolz-Cesaro Theorem
Linear Regression and Correlation Analysis
Linear Regression and Correlation Analysis
Listening numbers
Listening numbers
Link multiplication and division
Link multiplication and division
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Matrices: Basic Operations
Matrices: Basic Operations
Vectors and the geometry of space
Vectors and the geometry of space
Sine, cosine, radians
Sine, cosine, radians
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
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)
Confidence interval estimation
Confidence interval estimation
Discrete mathematics
Discrete mathematics
Group theory. Symmetry in coordination chemistry
Group theory. Symmetry in coordination chemistry
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Random signals
Random signals
Course Code - IFP109. Essensials of Mathematics. Module II
Course Code - IFP109. Essensials of Mathematics. Module II
Essensials of Mathematics
Essensials of Mathematics
Measure in metres and centimetres
Measure in metres and centimetres
Descriptive statistics
Descriptive statistics
Introduction to Statistics
Introduction to Statistics
Modeling non-stationary variables
Modeling non-stationary variables
Economics of pricing and decision making. (Lecture 1)
Economics of pricing and decision making. (Lecture 1)
Mixed strategy Nash equilibrium. (Lecture 3)
Mixed strategy Nash equilibrium. (Lecture 3)
Evolutionary games. (Lecture 7)
Evolutionary games. (Lecture 7)
Methods of proof
Methods of proof
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Solving linear recurrence relations
Solving linear recurrence relations
L'Hopital's Rule
L'Hopital's Rule
Measures of variation. Week 4 (2)
Measures of variation. Week 4 (2)
Correlation and Regression
Correlation and Regression
Definition. Statistics
Definition. Statistics
Многоугольники. Равные фигуры. 5 класс
Многоугольники. Равные фигуры. 5 класс
Estimating Quotients (1)
Estimating Quotients (1)
Vectors. Lecture 9
Vectors. Lecture 9
CENG 789 – Digital Geometry Processing
CENG 789 – Digital Geometry Processing
Golden Ratio
Golden Ratio
Solving linear recurrence relations
Solving linear recurrence relations
Vaths. Properties of Shapes
Vaths. Properties of Shapes
Linear Algebra. Lecture 2
Linear Algebra. Lecture 2
Multimachine Simulation. Lecture 20
Multimachine Simulation. Lecture 20
Linear Algebra. Chapter 1. Matrix Algebra
Linear Algebra. Chapter 1. Matrix Algebra
Nonlinear response of 1D multi-level system calculated from nonstationary Shrödinger equation
Nonlinear response of 1D multi-level system calculated from nonstationary Shrödinger equation
Filtering II - frequency response and stability
Filtering II - frequency response and stability
Моделирование кривых и поверхностей. Сплайны
Моделирование кривых и поверхностей. Сплайны
Numerical Methods for Engineers. Week # 6. Chapter 10
Numerical Methods for Engineers. Week # 6. Chapter 10
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
Bernoulli Trials, Bernoulli Formula, and Polynomial Distribution
Bernoulli Trials, Bernoulli Formula, and Polynomial Distribution
Essensials of Mathematics. Course Code - IFP109
Essensials of Mathematics. Course Code - IFP109
Math and Art
Math and Art
Boolean Algebra and Reduction Techniques Lecture 4 Digital Electronics
Boolean Algebra and Reduction Techniques Lecture 4 Digital Electronics
Discrete structures and mathematical logics
Discrete structures and mathematical logics
Vectors and the geometry of space. Lecture 10.b
Vectors and the geometry of space. Lecture 10.b
Intro to Geometric Modeling (GM)
Intro to Geometric Modeling (GM)
Discrete mathematics. Sets
Discrete mathematics. Sets
Linear Regression. Regression model evaluation metrics. Lecture 5
Linear Regression. Regression model evaluation metrics. Lecture 5
The function of one variable
The function of one variable
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Forecasting with bayesian techniques MP
Forecasting with bayesian techniques MP
Mechanism design. (Lecture 9)
Mechanism design. (Lecture 9)
Functions and graphs. Chapter 2. Combinations of functions; composite functions
Functions and graphs. Chapter 2. Combinations of functions; composite functions
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Probabilistic Models. Chapter 11
Probabilistic Models. Chapter 11
Introduction to Statistics. Week 1 (1)
Introduction to Statistics. Week 1 (1)
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)
Time series models. Static models and models with lags
Time series models. Static models and models with lags
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