Theory X

DOUGLAS MCGREGOR: THEORY X AND THEORY Y.

Theory X and Theory Y describe two views of people at work and may be used to describe two opposing management styles. (See Related model). Theory X: the traditional view of direction and control Theory X is based on the assumptions that: 1. The average human being has an inherent dislike of work and will avoid it if possible. 2.

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Set Theory and Logic: Fundamental Concepts (Notes by Dr. J ...

of a set. The second primitive notion of set theory is the notion of belonging. We write x ∈ X meaning ‘x belongs to the set X’, or ‘x is an element of X’ (Tipically we use capital letters to designate sets and small letters to designate elements of a set). The first axiom of set theory is Axiom 1a. A set is determined by its elements

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Class Field Theory - James Milne

class field theory (improvement of Takagi’s results). Introduced the Artin L-series. HASSE (1898–1979). He gave the first proof of local class field theory, proved the Hasse (local-global) principle for all quadratic forms over number fields, and contributed to the classification of central simple algebras over number fields.

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Introduction to the Theory of Plates - Stanford University

Bernoulli beam theory, which exploits the slender shape of a beam. We will develop a two-dimensional plate theory which employs the in-plane coordinates x and y in See Plate and associated (x, y, z) coordinate system.. as independent variables. Of …

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MARKOV CHAINS: BASIC THEORY - University of Chicago

2 MARKOV CHAINS: BASIC THEORY which batteries are replaced. In this context, the sequence of random variables fSngn 0 is called a renewal process. There are several interesting Markov chains associated with a renewal process: (A) The age process A1,A2,... is the sequence of random variables that record the time elapsed since the last battery failure, in other words, An …

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Graph Theory, Part 2 - Princeton University

Graph Theory, Part 2 7 Coloring Suppose that you are responsible for scheduling times for lectures in a university. You want to make sure that any two lectures with a common student occur at di erent times to avoid a con ict. We could put the various lectures on a chart and mark with an \X" any pair that has students in common: Lecture A C G H ...

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Lattice theory - Stanford University

Lattice theory 1.1 Partial orders 1.1.1 Binary Relations A binary relation Ron a set Xis a set of pairs of elements of X. That is, R⊆ X2. We write xRyas a synonym for (x,y) ∈ Rand say that Rholds at (x,y). We may also view Ras a square matrix of 0’s and 1’s, with rows and columns each indexed by elements of X. Then R xy = 1 just when xRy.

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QUEUEING THEORY AND MODELING

Queueing theory was developed by A.K. Erlang in 1904 to help determine the capacity requirements of the Danish telephone system (see Brockmeyer et al. 1948). It has since been applied to a large range of service industries including banks, airlines, and telephone call centers (e.g. Brewton 1989, Stern and

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Graph Theory

6 1. Graph Theory The closed neighborhood of a vertex v, denoted by N[v], is simply the set {v} ∪ N(v). Given a set S of vertices, we define the neighborhood of S, denoted by N(S), to be the union of the neighborhoods of the vertices in S.

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Review of Probability Theory - Stanford University

g(x) can taken on for different values of x, where the weights are given by p X(x) or f X(x). As a special case of the above, note that the expectation, E[X] of a random variable itself is found by letting g(x) = x; this is also known as the mean of the random variable X. Properties: - E[a] = afor any constant a2R.

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Big O notation - MIT

|f(x)| C |g(x)| for all x with |x-a| < d. The first definition is the only one used in computer science (where typically only positive functions with a natural number n as argument are considered; the absolute

L spaces - University of California, Davis

Theorem 7.8. Suppose that (X;A; ) is a measure space and 1 p 1. Then the simple functions that belong to Lp(X) are dense in Lp(X). Proof. It is su cient to prove that we can approximate a positive function f: X![0;1) by simple functions, since a general function may be decomposed into its positive and negative parts.