онлайн
Просмотр PPT файлов онлайн
Лучшие презентации на тему «Математика» на английском
фильтры
на всех языках
на русском
на украинском
на английском
на казахском
за все время
за месяц
за неделю
за день
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Modeling non-stationary variables
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Discrete Mathematics Sets
Forecasting with bayesian techniques MP
Решение уравнений sinx=a. Понятие арксинуса числа
The mean values
Probabilistic Models. Chapter 11
Combinational logic design
Theory without practice is empty, practice without theory is blind
Evolutionary games. (Lecture 7)
The travelling salesman problem
Sequential games. (Lecture 4)
Recitation class
Correlation and Regression
Object tracking using particle filter
N-ary relations and their applications. (Rosen 8.2)
Geometric Modeling - Parametric Representation of Synthetic Curves
Boolean algebra. Logic operations. Formula and their conversion
Repeated games. (Lecture 6)
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Mechanism design. (Lecture 9)
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Simultaneous games. Oligopoly. (Lecture 2)
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Evolutionary game theory. (Lecture 11)
Solving linear recurrence relations
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Correlation and regression
Arithmetic fundamentals of number systems
Sequential games. Empirical evidence and bargaining. (Lecture 5)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Trigonometriýa
The Aerodynamics Of A Single-Blade Rotor
Mathematics for Computing. Lecture 2: Logarithms and indices
Elements of probability. (Lecture 3)
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Drawing triangles
Ryspekov’s Fibonacci sequence formula Global Revival
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Auctions. (Lecture 10)
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Descriptive statistics
Random variables
Probability Concepts
Communication and signaling. (Lecture 8)
Math end algebra. Vector
Discrete mathematics. Probability
ორი სიბრტყის თანაკვეთა
Mixed strategy Nash equilibrium. (Lecture 3)
Digital Image Stabilization
Quiz 1
Time quiz
Measures of variation. Week 4 (2)
Graph theory irina prosvirnina. Definitions and examples. Paths and cycles
Irrational Numbers
Methods of proof
Inverse of a Square Matrix
Matrix Equations and Systems of Linear Equations
Parametric Linear Programming
Functions and graphs. Chapter 2. Combinations of functions; composite functions
The binomial model for option pricing
Количественные и порядковые числительные
Index of Refraction
Displaying data – shape of distributions. Week 3 (1)
Measures of variation. Week 4 (1)
Random variables – discrete random variables. Week 6 (2)
Introduction to normal distributions
Hypothesis Testing with Two Samples
Basics of functions and their graphs
Intro to Geometric Modeling (GM)
Economics of pricing and decision making. (Lecture 1)
Time series models. Static models and models with lags
Sampling in quantitative research
Mathematics for еconomists. (Week 1-12)
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Empirical rule - Probabilities. Week 5 (1)
Conditional Probabilities Statistical Independence. Week 6 (1)
Ryspekov’s Fibonacci sequence formula
Discrete mathematics. Sets
Panel.Methods
Introduction to Statistics. Week 1 (2)
Introduction to Statistics. Week 1 (1)
Types of Data – categorical data. Week 2 (1)
Types of Data – (continued). Week 2 (2)
Using numerical measures to describe data. Measures of the center. Week 3 (2)
George Boole
An over view of statistics
The Gilbert-Johnson-Keerthi (GJK) Algorithm
Collision Detection
Derivatives of Products and Quotients
Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication
Common Probability Distributions
Probability theory. Probability Distributions Statistical Entropy
Mathematical Induction
The Taylor Formula
Mathematical Induction
Hypothesis testing
Все презентации в категории «Математика»
«
0
1
»
English
Русский
Правила