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Algorithms-Meanings of mathematical terms and mathematical terms in discrete mathematics, and answers to discrete mathematics and Algorithms
Here we will introduce two important functions in discrete

basic content of discrete mathematics. Although the knowledge is wide, the difficulty is very low. For example, there is no "paradigm" in mathematical logic, in the algebra system, we only talk about Boolean algebra (not from the perspective of lattice). Second, we stick to the application, and many examples are related to computers. Third, we will introduce you to a large number of scientists related to m

??Recently in the implementation of the algorithm, the feeling of lack of knowledge of mathematics, here -------------------------------------------------- calculus --------------------------------------------- ------------- Calculus Open Class: mit: univariate calculus http://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/ Http://v.163.com/special/sp/singlevariablecalculus.html

??Recently, when implementing algorithms. Feel the lack of knowledge of mathematics, here-------------------------------------------------- calculus --------------------------------------------- -------------Calculus Open Class:mit: univariate calculushttp://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/Http://v.163.com/special/sp/singlevariablecalculus.htmlmit: Many variable Ca

Recently in the implementation of the algorithm, the feeling of lack of knowledge of mathematics, here-------------------------------------------------- calculus --------------------------------------------- -------------Calculus Open Class:mit: univariate calculushttp://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/Http://v.163.com/special/sp/singlevariablecalculus.htmlmit:

Discrete Mathematics and its application have a lot of content, which is difficult. If you want to learn programming, you can find a discrete mathematics with a lower difficulty but a lot of content. Second, we need to learn about the data structure and algorithms.Discrete Mathemat

Recently in the review of discrete mathematics, this article is "Discrete Mathematics and its application" in the sixth edition of the third chapter algorithm, integers, and matrices involved in a number of algorithms, I thought about it, the light also does not play any role, so I wrote a bit, the following code is my

Label: style blog HTTP color OS ar strong SP 2014
Haha, today is a panic Sunday, tomorrow is Monday ~
Don't forget to study on weekends. Now, let's review discrete mathematics ~
By the way, I have a thorough understanding of the girl's skills. It's not a dream for the girl friend of programmers!
The discrete mathematics

different equations. in this demo, we will see the images generated by the point set that can see the law and can't see the law.
For: http://files.cnblogs.com/WhyEngine/chaos.7z
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In the chaotic graph of this discrete point set, vertex data is generated using Iteration Methods:In the middle school textbooks, we have learned that a mona1 function can usually be expressed as: Y = f (x) wher

Tree-related knowledge points:Relative to the Tsinghua University Press this "discrete mathematics" about the tree of this chapter is relatively simple, the concept is not much, about trees, forests, leaves, sub-fulcrum, spanning tree, the minimum spanning tree concepts are very simple, here no longer, the following records several theorems and important algorithm steps.Theorem 1: Set tProof: Set T has k le

See an interesting article on the Internet "the key to the girl of discrete Mathematics"Just use JS to write the above-mentioned pairing method:First set the variable //Boys Ideal List varMenpreference ={A: [1, 2, 3, 4, 5], B: [1, 3, 4, 2, 5], C: [3, 2, 1, 4, 5], D: [4, 5, 2, 3, 1], E: [5, 2, 1, 4, 3] }; //Girls Ideal List varWomempreference = { 1: [' A ', ' B ', ' C ', ' D ', ' E '], 2: [' B ', ' D

likelihood solution. For finite data sets, the posteriori mean of parameter μ is always between the transcendental average and the maximum likelihood estimate of μ.SummarizeAs we can see, the posterior distribution becomes an increasingly steep peak shape as the observational data increases. This is shown by the variance of the beta distributions, when a and b approach infinity, the variance of the beta distribution tends to be nearly 0. At a macro level, when we observe more data, the uncertai

First order logic this piece belongs to the content of discrete mathematics, its function is to symbolize the natural things for the establishment of the system to lay the foundation of language.Recall whether learning Chinese or English grammar, we are from the backbone of the sentence to learn, then mathematics as a language, its sentence of course there are so

former is FalseThe R is calledAThe partial order relationship on the upper side is usually written as a. Notice here? It is not necessary to refer to "less than or equal" in the general sense. If there isx?y, we also sayxRow inyFrontxPrecedesy）。Basic RelationshipsReflexivity: ∀a∈a, = = (A, a) ∈r anti-reflexive: ∀a∈a, = (A, a) ∉r symmetry: (A, b) ∈r∧a≠b = (b, a) ∈r//objection: (A, B) ∈r∧ (b, a) ∈r =>a= b//These three note that the previous piece is falsetransitivity: (A, B) ∈r, (b, c) ∈r = (A, c

Discrete Mathematics FiveThe use of the primary disjunction paradigm1. To find the formula of the true assignment and false assignment value.2. Determine the type of formula. It is a tautology, a contradiction or a satisfying formula.3. Determine whether the two proposition formulas are equivalent.Example: Use the main disjunctive paradigm of a formula to determine the type of formula described below:If the

3.2 First-order logical equivalence calculus• 3.2.1 First-order logical equivalents and permutation rules– Basic equivalence type– Substitution rules, rules for changing names, substitution rules• 3.2.2 First-order logical front-beam paradigmNegative words come out from inside and come in from both sides, quantifier symbols changeThe quantifier is assigned the same time. No allocation rate in the same direction.US (full name designation Rule Universal specify)ES (existence of specified rules exs

Representation of graphs
Adjacency Matrix
Correlation matrix (horizontal longitudinal point, direction Graph 1 in-1
The connectivity of graphs
Non-Tourienton/non-connected
Forward graph strong connectivity/single-sided connectivity/weak connectivity
Proof method: Specific analysis of the special case of the Reach matrix (Eulerian graph has the necessary and sufficient conditions, Hamilton full/essential
Euler

if(Graph[i][j]) -cout""1","1">"; Wu } -coutEndl; About } $ }; - - classrelationship{ - Private: A BOOLPrint; + intnum_points; the graph graph; - Public: $Relationship (intnum): graph (num) { thePrint =true; the This->num_points =num; the } the - voidAdd_rs (intAintb) { in Graph.addedge (A, b); the } the About voidRemove_rs (intAintb) { the Graph.removeedge (A, b); the } the + voidTransfer () {//a matrix as a transitive cl

Recently in the chapter on the graph theory of discrete mathematics, here is my classification and summary of some important concepts of the graph.
Describe the concept of relationships
Association--used to describe the relationship between a point and an edge, which simply means that the edge is made up of those points and is associated with those points. The correlation matrix is a matrix that records

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