Homework Library

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The Homework Library (HL) is a database of solved homework problems derived from the endless collaborations between our tutors and students. Every item in the HL is the result of one of our tutors helping to raise a student's understanding and skills to a level sufficient to produce the final product on display in the HL, a testament to the success of the academic partnership.

HL materials are not original and are therefore made available for the sole purpose of studying and learning. Misuse of HL materials is strictly forbidden.

The HL was created for students who need immediate help, and in many cases you can find step-by-step explanations on how to solve a problem or examples of proper writing, including the use of citations, references, bibliographies, and formatting. If you don’t find what you are looking for within our HL database, please reach out to one of our tutors and schedule a tutoring session.

The Bloom Filter in Java
Homework Solution
$75.00
Computer Science
Java Programming
Bloom Filter
Hashing
Data Sets
Data Structures
Objects
Integers
Bits
Arrays
Functions
Indexes
Linked Lists
Classes
C++ Programming Problems
Homework Solution
$5.00
Computer Science
C++ Programming
Numbers
Summation
Newline Commands
Algorithms
Input
Output
Observations
Visual Studio
Word Report
Statements
Codes
Ski Field Simulation in Java
Homework Solution
$120.00
Computer Science
Java Programming
Simulation
Ski Field
Runtime
Speed
GUI
Slopes
Passengers
Probability
Dependency
Observations
Objects
Parameters
Threading
Thin-Layer Chromatography
Homework Solution
$38.00
Thin-Layer
Chromatography
Chemistry
Organic
Experiment
Ethyl
Acetate
Compound
Melting
Point
Java Programming: Maximum Subarray Problem
Homework Solution
$40.00
Computer Science
Java Programming
Maximum Subarray
Algorithms
Brute Force
Recursion
Input
Random Numbers
Operation Count
Comparison
Comprehensive Test Plan
Data Sets
Source Files
Statistics Projects in R: Breast Cancer Prediction
Homework Solution
$48.00
Mathematics
Statistics
R Programming
Breast Cancer
Prediction
Datasets
Columns
Variables
Trees
Patients
Functions
Observations
Normal Distribution
Classification
Measurements
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The solutions will include information such as who was the author of the solution, the original question, and sometimes a preview of the solution itself. When you are ready to purchase a solution just click on it and it will be yours.

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