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.

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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.

Systems Architecture Questions

$50.00

Systems Architecture

Non-Functional Properties

Performance

Complexity

Reliability

Martian Lander

Connectors

Systems Architecture

Non-Functional Properties

Performance

Complexity

Reliability

Martian Lander

Connectors

Java: Hash Table With Linked Lists to Deal With Collisions

$40.00

Java

Computer

Science

Hash

Table

Linked

ListsCollisions

HashMapInterface

Pair

ResizingHashMap

Subgraph Isomorphism, Independent Set, and Scheduling with Profits and Deadlines NP Problems

$30.00

Subgraph

Isomorphism

Independent

Set

Scheduling

Profit

Deadline

NP

NP-Hard

NP-Complete

Problem

Undirected

Graph

Vertices

Edge

Decision

Optimization

Clique

Task

Time

Machine

Processing

Subset

Sum

Class

Complexity

Subgraph

Isomorphism

Independent

Set

Scheduling

Profit

Deadline

NP

NP-Hard

NP-Complete

Problem

Undirected

Graph

Vertices

Edge

Decision

Optimization

Clique

Task

Time

Machine

Processing

Subset

Sum

Class

Complexity

Two Dynamic Programming Algorithms: Rod Cutting & Minimum Number of Coins Change

$18.00

Dynamic

Programming

Algorithm

Complexity

Recurrence

Rod

Cut

Coin

Change

Amount

Integer

Denomination

Pseudocode

Maximum

DP

Sale

Unit

Piece

Price

Table

Bottom-up

Example

Analysis

Base

Case

Dynamic

Programming

Algorithm

Complexity

Recurrence

Rod

Cut

Coin

Change

Amount

Integer

Denomination

Pseudocode

Maximum

DP

Sale

Unit

Piece

Price

Table

Bottom-up

Example

Analysis

Base

Case

Three Algorithm Design Questions with Full Steps

$33.00

Algorithm

Design

Input

Question

Elementary

Operation

Size

Pseudocode

Big-O

Asymptotic

Complexity

Image

2-dimensional

Array

Pixel

Rotate

Clockwise

Set

Circle

Radius

Center

Intersect

Collection

Integer

Inversion

List

Algorithm

Design

Input

Question

Elementary

Operation

Size

Pseudocode

Big-O

Asymptotic

Complexity

Image

2-dimensional

Array

Pixel

Rotate

Clockwise

Set

Circle

Radius

Center

Intersect

Collection

Integer

Inversion

List

Big Data (530 words)

$20.00

Big

Data

Algorithm

Input

Output

Complexity

Technical

Scientific

Theory

Performance

Criteria

Cost

Euclidean

Machine

Learning

Structured

Unstructured

Analytics

Business

Voronoi

NP-Hard

Partition

Clustering

Mean

Big

Data

Algorithm

Input

Output

Complexity

Technical

Scientific

Theory

Performance

Criteria

Cost

Euclidean

Machine

Learning

Structured

Unstructured

Analytics

Business

Voronoi

NP-Hard

Partition

Clustering

Mean

Systems Architecture Questions Involving CISC, RISC, and CPU Types

$40.00

Multiprogramming

Multiprocessing

Multithreading

Assembly

Language

Development

Application

Program

Compiled

Interpreted

RISC

CISC

Register

Global

Windows

Input

Output

Local

Set

Indicate

Clock

Cycle

Execute

Fetch

Reference

Memory

C

Multiprogramming

Multiprocessing

Multithreading

Assembly

Language

Development

Application

Program

Compiled

Interpreted

RISC

CISC

Register

Global

Windows

Input

Output

Local

Set

Indicate

Clock

Cycle

Execute

Fetch

Reference

Memory

C

Kruskal Minimum Spanning Tree Algorithm Run on Example Graph

$35.00

Benchmark

Report

Kruskal

Java

Report

Analysis

Complexity

Test

Case

Data

Problem

Critical

Operation

Comprehensive

Documentation

Approach

Lesson

Learned

Limitation

Expectation

Big-O

Graph

Input

Set

Introduction

Source

File

Code

M

Benchmark

Report

Kruskal

Java

Report

Analysis

Complexity

Test

Case

Data

Problem

Critical

Operation

Comprehensive

Documentation

Approach

Lesson

Learned

Limitation

Expectation

Big-O

Graph

Input

Set

Introduction

Source

File

Code

M

Algorithm Design about Linear Time Median, BFS with Loop Invariant, and Sorting Post Order Numbers

$20.00

Linear

Time

Median

Find

Algorithm

Group

Element

List

Post

Order

Traversal

Without

Sorting

BFS

Breadth

First

Search

Loop

Invariant

Layer

Graph

Proof

Complexity

Left

Right

Root

Node

Sorted

Linear

Time

Median

Find

Algorithm

Group

Element

List

Post

Order

Traversal

Without

Sorting

BFS

Breadth

First

Search

Loop

Invariant

Layer

Graph

Proof

Complexity

Left

Right

Root

Node

Sorted

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