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DePaul - DB - 394
# This file is autogenerated. Instead of editing this file, please use the# migrations feature of ActiveRecord to incrementally modify your database, and# then regenerate this schema definition.ActiveRecord:Schema.define(:version => 19) do cre
UConn - MATH - 5520
MATH 5520 Basics of MATLABDmitriy LeykekhmanSpring 2009TopicsSources. Entering Matrices. Basic Operations with Matrices. Build in Matrices. Build in Scalar and Matrix Functions. if, while, for m-files Graphics. Sparse Matrices.D. Leykekhman -
UConn - MATH - 5520
MATH 5520 Numerical Integration 1.Dmitriy LeykekhmanSpring 2009D. Leykekhman - MATH 5520 Finite Element Methods 1Numerical Integration 11Numerical Integration.Our goal is to computebf (x) dx.aEven if f (x) can be expressed in ter
UConn - MATH - 5520
MATH 5520 Numerical Integration 2.Dmitriy LeykekhmanSpring 2009Gauss Quadrature. Composite Quadrature Formulas. MATLAB's Functions.D. Leykekhman - MATH 5520 Finite Element Methods 1Numerical Integration 21Gauss Quadrature.Idea of the
UConn - MATH - 3795
MATH 3795 Introduction to Comp. Math.September 25, 2008Assignment 41. (20 points) It is suspected that the data (ti , fi ), i = 1, . . . , m obeys a relationship f (t) = c1 ec2 t , for some c1 and c2 , where t 0 0.1034 0.2069 0.3103 0.4138 0.5
UConn - MATH - 3795
MATH 3795 Introduction to Comp. Math.October 20, 2008Assignment 51. (10 points) Use fzero to try to find a zero of each of the following functions in the given interval. Do you see any interesting or unusual behavior? (a) atan(x) - /3 on [0, 5
UConn - MATH - 3795
MATH 3795 Introduction to Comp. Math.November 5, 2008Assignment 61. (40 points) Let T (h) = where xi = a + ih,bh h f (a) + h f (a + ih) + f (b), 2 2 i=1 i = 0, . . . , n, h= (b - a) . nn-1(a) Write a program that approximates a f (x)dx
DePaul - APP - 394
# Methods added to this helper will be available to all templates in the application.module ApplicationHelperend
DePaul - APP - 394
module CategoryHelperend
DePaul - APP - 394
module IngredientControllerHelperend
DePaul - APP - 394
module IngredientHelperend
DePaul - APP - 394
module LoginHelperend
DePaul - APP - 394
module MeasuringUnitHelperend
DePaul - APP - 394
module RecipeHelperend
DePaul - APP - 394
module RecipesHelperend
DePaul - APP - 394
module SizeHelperend
DePaul - APP - 394
module UsersHelperend
UConn - MATH - 3795
MATH 3795Dmitriy LeykekhmanFall 2008Goals:Course Information. Basic Matlab.D. Leykekhman - MATH 3795 Introduction to Computational MathematicsCourse info1Course Info.Instructor: Dmitriy Leykekhman Office: MARINE SCIENCES BUILDING, 1
DePaul - DB - 394
class CreateIngredients < ActiveRecord:Migration def self.up create_table :ingredients do |t| t.column :name, :string, :null => false end end def self.down drop_table :ingredients endend
DePaul - DB - 394
class CreateMeasuringUnits < ActiveRecord:Migration def self.up create_table :measuring_units do |t| t.column :name, :string, :null => false end end def self.down drop_table :measuring_units endend
DePaul - DB - 394
require 'active_record/fixtures' class CreateFractions < ActiveRecord:Migration # The self.up method runs when committing the changes. def self.up create_table :fractions do |t| t.column :numerator, :integer, :null => false t.c
DePaul - DB - 394
# This code runs when commiting a migration via 'rake db:migrate'require 'active_record/fixtures'class CreateSizes < ActiveRecord:Migration # The self.up method runs when committing the changes. def self.up create_table :sizes do |t|
UConn - MATH - 3795
MATH 3795 Lecture 13. Numerical Solution of Nonlinear Equations in RN .Dmitriy LeykekhmanFall 2008GoalsLearn about different methods for the solution of F (x) = 0, their advantages and disadvantages. Convergence rates. MATLAB's fsolveD. Leykek
DePaul - DB - 394
# This code runs when commiting a migration via 'rake db:migrate'require 'active_record/fixtures'class CreateUsers < ActiveRecord:Migration # The self.up method runs when committing the changes. def self.up create_table :users do |t|
DePaul - DB - 394
class CreateRecipes < ActiveRecord:Migration def self.up create_table :recipes do |t| t.column :name, :string, :null => false t.column :user_id, :integer, :null => false t.column :instructions, :text, :null => true end e
DePaul - DB - 394
class AddRecipeCategory < ActiveRecord:Migration def self.up add_column :recipes, :category_id, :integer, :null => false end def self.down remove_column :recipes, :category_id endend
DePaul - DB - 394
class CreateCategories < ActiveRecord:Migration def self.up create_table :categories do |t| t.column :name, :string, :null => false end end def self.down drop_table :categories endend
UConn - MATH - 3795
MATH 3795 Lecture 15. Polynomial Interpolation. Splines.Dmitriy LeykekhmanFall 2008GoalsApproximation Properties of Interpolating Polynomials. Interpolation at Chebyshev Points. Spline Interpolation. Some MATLAB's interpolation tools.D. Leykek
DePaul - DB - 394
class CreateRecipeLineItems < ActiveRecord:Migration def self.up create_table :recipe_line_items do |t| t.column :quantity, :integer, :null => true t.column :fraction_id, :integer, :null => true t.column :measuring_unit_id, :i
DePaul - DB - 394
class SetForeignKeys < ActiveRecord:Migration def self.up execute "alter table recipes add constraint fk_recipe_users foreign key (user_id) references users(id)" execute "alter table recipes add constraint fk_recipe_categorie
DePaul - DB - 394
class AddNewColumnsToUsers < ActiveRecord:Migration def self.up rename_column :users, :password, :hashed_password add_column :users, :salt, :string add_column :users, :role, :string end def self.down remove_column :users, :role
DePaul - DB - 394
class AddSessions < ActiveRecord:Migration def self.up create_table :sessions do |t| t.column :session_id, :string t.column :data, :text t.column :updated_at, :datetime end add_index :sessions, :session_id add_ind
DePaul - DB - 394
class ModifyRecipeUsersForeignKey < ActiveRecord:Migration def self.up down execute "alter table recipes add constraint fk_recipe_users foreign key (user_id) references users(id) on delete cascade" execute "alter table rec
DePaul - DB - 394
class ModifyRecipeUsersLineItemsForeignKey < ActiveRecord:Migration def self.up down execute "alter table recipe_line_items add constraint fk_recipe_line_items_recipes foreign key (recipe_id) references recipes(id) on delete c
UConn - MATH - 3795
MATH 3795 Lecture 17. Numerical Inegration II.Dmitriy LeykekhmanFall 2008Gauss Quadrature. Composite Quadrature Formulas. MATLAB's Functions.D. Leykekhman - MATH 3795 Introduction to Computational MathematicsLinear Least Squares1Gauss
DePaul - APP - 394
# = Schema Information# Schema version: 19## Table name: categories## id :integer(11) not null, primary key# name :string(255) default("), not null#class Category < ActiveRecord:Base has_many :recipes validates_presence_of :n
DePaul - APP - 394
# = Schema Information# Schema version: 19## Table name: ingredients## id :integer(11) not null, primary key# name :string(255) default("), not null## This class represents ingredients in the data model.class Ingredient < ActiveRec
DePaul - APP - 394
# = Schema Information# Schema version: 19## Table name: measuring_units## id :integer(11) not null, primary key# name :string(255) default("), not null#class MeasuringUnit < ActiveRecord:Base has_many :recipe_line_items has_many
DePaul - APP - 394
# = Schema Information# Schema version: 19## Table name: sizes## id :integer(11) not null, primary key# name :string(255) default("), not null## This class represents sizes, i.e. small, medium, large, etc. class Size < ActiveRecord
DePaul - APP - 394
# = Schema Information# Schema version: 19## Table name: users## id :integer(11) not null, primary key# name :string(255) default("), not null# logon :string(255) default("), not null# hashed_passwo
Maryland - MATH - 406
MATH 406: Homework 19 Solutions 1. We have: x0 = 2 x1 f (x0 ) 6 x2 f (x1 ) 38 gcd(x2 - x1 , 64) = gcd(32, 64) = 32 So that 32 is a factor of 64. 2. We have x0 = 2 x1 f (x0 ) 7 x2 f (x1 ) 52 x3 f (x2 ) 2707 x4 f (x3 ) 4131 x5 f (x4 ) 386
Maryland - MATH - 406
MATH 406: Homework 20 Solutions 1. Witness: 2 is a witness since 289931 8450 mod 8993. Liar: 528 is a liar since 52889931 1 mod 8993. 2. Witness: 2 is a witness since 2(89931)/2 5730 = Liar: 528 is a liar since 528(89931)/2 1 =28993.1=528 8
Penn State - AML - 5142
ANDREA LOHRHome: 282 Yorkshire Drive Newtown, PA 18940 home phone: (215) 860-1998 University: 208 Simmons Hall University Park, PA 16802 cell phone: (267) 566-2394 e-mail: aml5142@psu.eduObjectives I am interested in a part-time job for the summer
Maryland - MATH - 406
Math 406 Section 0101 Exam 3 Topics and Samples 1. Multiplicative functions. Definition. (a) Define (1) = 1 and (n) = 2r where r is the number of distinct primes in the PF of n. Show that is multiplicative. 2. Euler -function. Definition, how to fin
Maryland - MATH - 406
Math 406 Section 0101 Exam 3 Samples Solutionsb 1. (a) Let n and m be relatively prime so that n = pa1 .pax and m = q11 .qyy with pi = qj for x 1 ball i, j. Then (nm) = 2. (a) (13) = 12 (14) = 6 (15) = 8 (16) = 8 (17) = 16 (18) = 6 (19) = 18 (20)
Oregon State - BA - 471
Meta DataNSDL_DC XMLOAI-PMH Meta Data Server Search Engine Rendering Engine SQLMeta Data App.Spider SQL TE Database Apache Web server HTTPDocument Repository TE CollectiondebianXMLDocument Authoring Document Authoring XML
UCSD - PHYS - 221
Chapter 10SolitonsStarting in the 19th century, researchers found that certain nonlinear PDEs admit exact solutions in the form of solitary waves, known today as solitons. There's a famous story of the Scottish engineer, John Scott Russell, who in
CSU Channel Islands - ICS - 123
Runtime Software Adaptation: Framework, Approaches, StylesPeyman OreizyLaunch21Nenad Medvidovic USCRichard N. Taylor UC IrvineWhat? Our paper got the MIP award?! 2nd thought: Wow, lots of citations! Original paper: 315 Follow-on journal pa
CSU Channel Islands - ICS - 211
Hypertext and E-CommerceInformatics 211 November 6, 2007The Basics of Hypertext Theconcept: interrelated information Content (the information) Structure (the links between the information) View (what part of the content and structure one s
CSU Channel Islands - ICS - 221
Introduction to ModelingSoftware Architecture Lecture 9Copyright Richard N. Taylor, Nenad Medvidovic, and Eric M. Dashofy. All rights reserved.Software ArchitectureFoundations, Theory, and PracticeObjectivesConcepts What is modeling?
CSU Channel Islands - ICS - 221
Domain-Specific Software Architecture and Product LinesSoftware Architecture Lecture 24Copyright Richard N. Taylor, Nenad Medvidovic, and Eric M. Dashofy. All rights reserved.Software ArchitectureFoundations, Theory, and PracticeObjectives
CSU Channel Islands - ICS - 121
Project: Design an Online Travel Agency This is a group project (5-6 students each group). You are assigned to design a website and its underlying software architecture for a travel agency located in southern California. The agency wants the website
CSU Channel Islands - ICS - 121
The Mythical Man-Month by Fred Brooks (I) Published 1975, Republished 1995 Experience managing the development of OS/360 in 1964-65 Central Argument Large programming projects suffer management problems different in kind than small ones, due to
Whitman - M - 235
OPTIMIZATION AND LEARNINGWe can define learning as the process by which associations are made between a set of stimuli and a set of responses. We can visualize this process on a coordinate system, where the independent variable is the set of stimul
University of Texas - SEC - 021808
UC Davis - M - 127
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UC Davis - M - 127
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: midterm2_sample_solutions.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -omidter
UC Davis - M - 127
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: midterm2_127b_solutions.dvi %Pages: 7 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -omidterm2
UC Davis - M - 127
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: sample_solutions.dvi %Pages: 7 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -osample.ps sampl
UC Davis - M - 127
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: sample_integration.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -osample_integr
UC Davis - M - 127
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: sample_integration_solutions.dvi %Pages: 7 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -osam