online
Display PPT file online
«mathematics»: top viewed presentations this month in english
Boolean algebra. Logic operations. Formula and their conversion
Boolean algebra. Logic operations. Formula and their conversion
Determinants
Determinants
Numbers 11-20
Numbers 11-20
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Normal Probability Distributions
Normal Probability Distributions
Matrices - Introduction. Lecture 1-3
Matrices - Introduction. Lecture 1-3
Vectors. Lecture 9
Vectors. Lecture 9
Discrete mathematics. Sets
Discrete mathematics. Sets
Propositional logic
Propositional logic
Inverse of a Square Matrix
Inverse of a Square Matrix
Parallelepiped rectangular solid cube. Some special prisms
Parallelepiped rectangular solid cube. Some special prisms
Angles. Types of angles
Angles. Types of angles
Geometric Transformations
Geometric Transformations
Discrete mathematics
Discrete mathematics
Mathematics for Computing. Lecture 2: Logarithms and indices
Mathematics for Computing. Lecture 2: Logarithms and indices
Math end algebra. Vector
Math end algebra. Vector
Сумма и разность синусов и косинусов
Сумма и разность синусов и косинусов
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Basics of functions and their graphs
Basics of functions and their graphs
Hypothesis Testing with Two Samples
Hypothesis Testing with Two Samples
Hypothesis testing
Hypothesis testing
Geometric Modeling - Parametric Representation of Synthetic Curves
Geometric Modeling - Parametric Representation of Synthetic Curves
Development of an information system for evaluating the work of production employees based on statistical analysis
Development of an information system for evaluating the work of production employees based on statistical analysis
Measuring Inequality. An examination of the purpose and techniques of inequality measurement
Measuring Inequality. An examination of the purpose and techniques of inequality measurement
Exponentials and logarithms. Lecture 2.1
Exponentials and logarithms. Lecture 2.1
Modelling with exponentials and logarithms
Modelling with exponentials and logarithms
Trigonometry 1
Trigonometry 1
Exploring Assumptions Normality and Homogeneity of Variance
Exploring Assumptions Normality and Homogeneity of Variance
Trigonometry 2
Trigonometry 2
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
T PM N 2019/2020 : Solving the Schr¨odingerequation
T PM N 2019/2020 : Solving the Schr¨odingerequation
Trigonometry 3
Trigonometry 3
GCSE Circle Theorems
GCSE Circle Theorems
Решение уравнений sinx=a. Понятие арксинуса числа
Решение уравнений sinx=a. Понятие арксинуса числа
Преобразование сумм тригонометрических функций в произведения
Преобразование сумм тригонометрических функций в произведения
Math. Game
Math. Game
The 79th William Lowell Putnam Mathematical
The 79th William Lowell Putnam Mathematical
The Simple Regression Model
The Simple Regression Model
Matrices: Basic Operations
Matrices: Basic Operations
Modeling non-stationary variables
Modeling non-stationary variables
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)
Профильный уровень. Типовые экзаменационные варианты - под редакцией И. В. Ященко
Профильный уровень. Типовые экзаменационные варианты - под редакцией И. В. Ященко
The mean values
The mean values
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Confidence interval estimation
Confidence interval estimation
Graphs and Multigraphs
Graphs and Multigraphs
Introduction to vectors
Introduction to vectors
Dividing polynomials
Dividing polynomials
Correlation Analysis and Covariance
Correlation Analysis and Covariance
4.2 Introduction to Limits
4.2 Introduction to Limits
Manipulator Kinematics, Link Description, Link Connections
Manipulator Kinematics, Link Description, Link Connections
The discoveries of Pythagoras
The discoveries of Pythagoras
Combinatorics. Pascal’s identity and triangle
Combinatorics. Pascal’s identity and triangle
ორი სიბრტყის თანაკვეთა
ორი სიბრტყის თანაკვეთა
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
N-ary relations and their applications. (Rosen 8.2)
N-ary relations and their applications. (Rosen 8.2)
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)
Volume
Volume
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
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
Quiz 1
Quiz 1
Probabilistic Models. Chapter 11
Probabilistic Models. Chapter 11
linear octree
linear octree
Differential calculus of the function of one variable
Differential calculus of the function of one variable
Introduction to Statistics. Week 1 (1)
Introduction to Statistics. Week 1 (1)
Empirical rule - Probabilities. Week 5 (1)
Empirical rule - Probabilities. Week 5 (1)
Conditional Probabilities Statistical Independence. Week 6 (1)
Conditional Probabilities Statistical Independence. Week 6 (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
Solving Systems of Equations using Elimination
Solving Systems of Equations using Elimination
Descriptive statistics
Descriptive statistics
Clipping summary
Clipping summary
Ch8: Hypothesis Testing (2 Samples)
Ch8: Hypothesis Testing (2 Samples)
Basic arithmetic
Basic arithmetic
Coordinate Geometry
Coordinate Geometry
Matrix Equations and Systems of Linear Equations
Matrix Equations and Systems of Linear Equations
The Chain Rule
The Chain Rule
Pyramid. Right and Oblique Pyramids
Pyramid. Right and Oblique Pyramids
Mathematical Induction
Mathematical Induction
Scalars, vectors and tensors
Scalars, vectors and tensors
Types of vectors
Types of vectors
Gauss method
Gauss method
Functions and their graphs
Functions and their graphs
Binary Variables
Binary Variables
Transformations of block diagram
Transformations of block diagram
Basic dynamic elements
Basic dynamic elements
Trigonometric identities
Trigonometric identities
Relational algebra. Lecture 8
Relational algebra. Lecture 8
Relational algebra
Relational algebra
Graph transformation 1
Graph transformation 1
Trigonometry 4. Lecture Outline
Trigonometry 4. Lecture Outline
System of linear equations. Lecture 4-5
System of linear equations. Lecture 4-5
4.4 Binomial expansions
4.4 Binomial expansions
3.5 Trigonometry 5
3.5 Trigonometry 5
Using first derivative. Using second derivative
Using first derivative. Using second derivative
Differentiation. Sketching functions
Differentiation. Sketching functions
Review of Basic Concepts in Statistics
Review of Basic Concepts in Statistics
Introduction to Vectors. Lecture 7
Introduction to Vectors. Lecture 7
Linear Regression. Linear Regression with Gradient Descent. Regularization. Lecture 4.2
Linear Regression. Linear Regression with Gradient Descent. Regularization. Lecture 4.2
English     Русский Rules