An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. In many settings the term refers to integer linear programming (ILP), in which the objective function and the constraints (other than the integer constraints) are linear. Integer programming is NP-complete. In particular, the special case of 0-1 integer linear programming, in which unknowns are binary, and only the restrictions must be satisfied, is one of Karp's 21 NP-complete problems. If some decision variables are not discrete, the problem is known as a mixed-integer programming problem. (Wikipedia).
V6 01: Linear Programming: Introduction to Integer programming
Linear Programming: Introduction to Integer programming
From playlist Math484 Linear Programming Short Videos, summer 2020
Shmuel Onn: Sparse integer programming is FPT
We show that sparse integer programming, in variable dimension, with linear or separable convex objective, is fixed-parameter tractable. This is a culmination of a long line of research with many colleagues. We also discuss some of the many consequences of this result, which provides a new
From playlist Workshop: Tropical geometry and the geometry of linear programming
Introduction to Computer Programming for beginners || Coding for beginners
Computer programming is the process of performing a particular computation (or more generally, accomplishing a specific computing result), usually by designing and building an executable computer program. Programming involves tasks such as analysis, generating algorithms, profiling algorit
From playlist Programming
RUBY Using integer methods to create loops
More videos like this online at http://www.theurbanpenguin.com Now we shall look in this tutorials how easily we can iterate through a set of numbers using the upto and downto methods. We can also see how we can take a string and cast it to and integer with to_i
From playlist RUBY
Greatest Integer Function With Limits & Graphs
This calculus video tutorial explains how to graph the greatest integer function and how to evaluate limits that contain it. This video contains plenty of examples and practice problems evaluating limits with the greatest integer function using the help of a number line. Examples include
From playlist New Calculus Video Playlist
(New Version Available) Inverse Functions
New Version: https://youtu.be/q6y0ToEhT1E Define an inverse function. Determine if a function as an inverse function. Determine inverse functions. http://mathispower4u.wordpress.com/
From playlist Exponential and Logarithmic Expressions and Equations
Maths for Programmers: Introduction (What Is Discrete Mathematics?)
Transcript: In this video, I will be explaining what Discrete Mathematics is, and why it's important for the field of Computer Science and Programming. Discrete Mathematics is a branch of mathematics that deals with discrete or finite sets of elements rather than continuous or infinite s
From playlist Maths for Programmers
Lesson 01_05 A more functional way of coding 1 plus 1
Download the notebook files as they are added at: http://www.juanklopper.com/computer-programming/ In this section I will show you that simple arithmetic can also be done using functions. We will have a separate lesson on functions, but this will give you a nice glimpse of what is to com
From playlist The Julia Computer Language
Pointers in C / C++ [Full Course]
Pointers in C and C++ are often challenging to understand. In this course, they will be demystified, allowing you to use pointers more effectively in your code. The concepts you learn in this course apply to both C and C++. ✏️ Course developed by Harsha and Animesh from MyCodeSchool. 🔗 R
From playlist C / C++
This is Lecture 21 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture23.pdf
From playlist CSE373 - Analysis of Algorithms - 1997 SBU
Jana Cslovjecsek: Efficient algorithms for multistage stochastic integer programming using proximity
We consider the problem of solving integer programs of the form min {c^T x : Ax = b; x geq 0}, where A is a multistage stochastic matrix. We give an algorithm that solves this problem in fixed-parameter time f(d; ||A||_infty) n log^O(2d) n, where f is a computable function, d is the treed
From playlist Workshop: Parametrized complexity and discrete optimization
22C3: Academic tools and real-life bug finding in Win32
Speaker: Rafał Wojtczuk Overview of a few academic program verification/checking tools; their usefulness for practical bug finding (particularly, in Win32 PE binaries); a report on the progress of integer overflow detection tool implementation (with preliminary results). For more informa
From playlist 22C3: Private Investigations
C Programming: More Arrays and Strings
In this session I'll show more examples of arrays in C, including some common algorithms such as finding the maximum and searching. Plus some in-depth topics: how the compiler performs type checking. Finally I'll finish with an introduction to C strings and their associated I/O functions:
From playlist C Programming
Learn about the basics of pointers in C. This streaming session will go over the syntax and concepts of pointers. Assumes you are already familiar with the primitive types (int, char, etc.) and with defining functions.
From playlist C Programming
Understanding Arrays in C Programming | Edureka
Watch sample class recording: http://www.edureka.co/c-programming-datastructure-course?utm_source=youtube&utm_medium=referral&utm_campaign=understanding-arrays An array in C Programing Language can be defined as number of memory locations, each of which can store the same data type and w
From playlist Learn C programming
Lecture 6 | Programming Methodology (Stanford)
Lecture by Professor Mehran Sahami for the Stanford Computer Science Department (CS106A). Professor Sahami continues to talk about expressions, variables, and values. He then finishes his lecture on conditions, scopes, if statements, and different loops. CS106A is an Introduction to the
From playlist Course | Programming Methodology
This is Lecture 2 of the COMP300E (Programming Challenges) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2009. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/programmingchallenges/
From playlist COMP300E - Programming Challenges - 2009 HKUST
Ex: Limits Involving the Greatest Integer Function
This video provides four examples of how to determine limits of a greatest integer function. Site: http://mathispower4u.com
From playlist Limits
Elias Khalil - Neur2SP: Neural Two-Stage Stochastic Programming - IPAM at UCLA
Recorded 02 March 2023. Elias Khalil of the University of Toronto presents "Neur2SP: Neural Two-Stage Stochastic Programming" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Stochastic Programming is a powerful modeling framework for decision-making under un
From playlist 2023 Artificial Intelligence and Discrete Optimization