Applied Probability and Statistics

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Pentium microprocessors

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A 32-bit microprocessor introduced by Intel in 1993. It contains 3.3 million transistors. Since 1993, Intel has developed the Pentium III and more recently the Pentium 4 microprocessors.   Pentium III Pentium III Mainboard Layout Intel builds on the technology it developed with the Pentium II microprocessors.  The Pentium III processor comes with a Synchronized Dynamic Random Access Memory (SDRAM), allowing for an extremely fast transfer of data between the microprocessor and the memory. 70 new instructions, called Streaming SIMD Extensions, enhance multimedia and 3D performance.  Launched February 1999 - Available in speed levels of 450, 500, 550, and 600MHz. 32KB of Level 1 Cache (operating at CPU's full core speed). 512KB of Level 2 Cache (operating at ½ of CPU's core speed). 100 MHz bus speed. The branch prediction/recovery pipeline was doubled to include 10-stages from the P-II.   Pentium IV The next generation of microprocessors from Intel. Pe
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Design and Management of Computer Networks Running Notes

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Architecture and Design Process Hierarchy and Inter-connectivity Network Supportability ------------------------------------------------------------------------------------------- Service Description pdf Service characteristics pdf Service Levels pdf System Components and network services pdf Service Requests and Requirements pdf Service Offerings pdf Service Matrices pdf Performance Characteristics pdf for running notes Download here ------------------------------------------------------------------------------------------- Types of user requirements pdf Timeliness Interactivity Reliability Presentation Quality Adaptability Security Affordability Functionality Supportability Future growth Requirement Analysis pdf The need for Requirement Analysis User Requirements pdf for running notes Download here -------------------------------------------------------------------------------------------  Applic
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ONE DIMENSIONAL RANDOM VARIABLES: Handwritten notes

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Properties of probability Distribution Function Expectation Value For the following problem by using Find the distribution function of x? What is the smallest value of x? for which probability P(X<=x)>0.5 for more click here ---------------------------------------------------------------------------------------------------------------- Continues Random Variable           We call the distribution function as probability density function f(x). Properties of probability density function.  click here ---------------------------------------------------------------------------------------------------------------- Moment Generating Function (MGF) Properties Additional property in MGF  for notes click here ---------------------------------------------------------------------------------------------------------------- Bernoulli Trial       For a single trail with only two possible results.  Example: Tossing a coin. p=1/2, q=1/2 p + q = 1 p = q
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