side of length 5, the Law of Sines would give sin x = (7/5)sin 70 = 1.316, which is impossible. With angle A = 70 opposite the side of length 7, the Law of Sines gives sin x = (5/7)sin 70, which is a lot more reasonable. using the inverse sine function to solve (on your graphing calculator) you get x = 42.16 degrees as the angle opposite side b = 5. The remaining angle is now 67.84 degrees since all three add up to 180 degrees. Now you have two sides and an included angle and you can use the
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GNU Scientific Library Reference Manual Edition 1.14, for GSL Version 1.14 4 March 2010 Mark Galassi Los Alamos National Laboratory Jim Davies Department of Computer Science, Georgia Institute of Technology James Theiler Astrophysics and Radiation Measurements Group, Los Alamos National Laboratory Brian Gough Network Theory Limited Gerard Jungman Theoretical Astrophysics Group, Los Alamos National Laboratory Patrick Alken Department of Physics, University of Colorado at Boulder
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Hashing hash functions collision resolution applications References: Algorithms in Java, Chapter 14 http://www.cs.princeton.edu/introalgsds/42hash 1 Summary of symbol-table implementations implementation unordered array ordered array unordered list ordered list BST randomized BST red-black tree guarantee search N lg N N N N 7 lg N 3 lg N insert N N N N N 7 lg N 3 lg N delete N N N N N 7 lg N 3 lg N search N/2 lg N N/2 N/2 1.39 lg N 1.39 lg N lg N average case insert N/2 N/2 N N/2
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pair (k, v) will be stored on the cache ‘hash(k) mod n’ where hash() is any function that converts the arbitrary string k to a non-negative integer. Keys are distributed evenly in a cluster for any reasonable number of keys, if the hash function being used in hash(k) mod n is a good hash function. Consistent Hashing: Consistent hashing is a cleverer algorithm compared to hashing. Here, the output range of the hash function is treated as a ring or fixed circular space. The largest hash value wraps
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Laboratory Notes Laboratory Number: 1 Examiner Name: Date & Time Activity 2-2-2015 1:03pm 1:19pm 1:21pm 1:22pm 1:23pm 1:24pm 1:25pm 1:26pm 1:28 All steps performed on linux mint-17 32-bit, kernel 3.13.0-37 generic Tools used: dd (coreutils) 8.21, sha1sum (GNU coreutils) 8.21, xxd version 1.10, Eye of mate Image Viewer 1.8.1, Script version 2.20.1 Received the USB device from officer Linda
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experiment security features for network, we need to add security functions into NS-2. Our approach is to build a new protocol at network layer – IP layer. We also define new packet format to represent new protocols. The new protocol is represented by a class derived from built-in class in NS-2. Within new derived class we will add encryption and decryption for data field in the data packet. We will also implement message digest generation function to ensure the integrity of data packet during transmission
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MOTIVATION • Usual textbook presentations treat producers as successful optimizers. They maximize production, minimize cost, and maximize profits. • Conventional econometric techniques build on this paradigm to estimate production/cost/profit function parameters using regression techniques where deviations of observed choices from optimal ones are modeled as statistical noise. • However though every producer may attempt to optimize, not all of them may succeed in their efforts. For example, given
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Name: Nupur Vijay Gholap Weekly Solutions Template Hands on project 4-4: Answer: Case Project 4-5 Answer: To acquire the data from the source file following methods can be used: 1. Disk-to-Image files: FKT Imager can be used to disk-to-image files from other proprietary formats. We need not segment the data as entire 2 GB can be stored directly. FKT runs on the windows and needs write blocking device. FKT can read AccessData, Expert Witness, SafeBack, SMART and raw format files, CD
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An Introduction to Matlab for Econometrics John C. Frain TEP Working Paper No. 0110 February 2010 Trinity Economics Papers Department of Economics Trinity College Dublin An Introduction to MATLAB for Econometrics John C. Frain. February 2010 ∗ Abstract This paper is an introduction to MATLAB for econometrics. It describes the MATLAB Desktop, contains a sample MATLAB session showing elementary MATLAB operations, gives details of data input/output, decision and loop structures, elementary
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search for any name would first consist of computing the hash value (using the same hash function used to store the item) and then comparing for a match using that value. It would, in general, be much faster to find a match across four digits, each having only 10 possibilities, than across an unpredictable value length where each character had 26 possibilities. The hashing algorithm is called the hash function-- probably the term is derived from the idea that the resulting hash value can be thought
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