Instructions CSC373 Fall’20 Assignment 1: Dinosaurian Dilemmas Due Date: 13th October 2020, 11:59pm ET 1. Typed assignments are preferred (e.g., PDFs created using LaTeX or Word), especially if your handwriting is possibly illegible or if you do not have access to a good quality scanner. Either way, you need to submit a single PDF named […]
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Fall 2008 Term Test # 2 50 minutes NONE (in particular, no calculator) CSC 373 H1 Student Number: Last (Family) Name(s): First (Given) Name(s): Duration: Aids Allowed: Do not turn this page until you have received the signal to start. In the meantime, please read the instructions below carefully. This term test consists of 3
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Fall 2008 Term Test # 1 50 minutes NONE (in particular, no calculator) CSC 373 H1 Student Number: Last (Family) Name(s): First (Given) Name(s): Duration: Aids Allowed: Do not turn this page until you have received the signal to start. In the meantime, please read the instructions below carefully. This term test consists of 2
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CSC373H1 Midterm Test Fall 2019 Duration: Aids Allowed: Student Number: Last (Family) Name(s): First (Given) Name(s): 50 minutes One single-sided handwritten 8.5″×11″ aid sheet. Do not turn this page until you have received the signal to start. In the meantime, please read the instructions below carefully. This term test consists of 3 questions on 8
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12 November 2015 Term Test # 2 — Sample Solutions CSC 373 H1 Note to Students: This file contains sample solutions to the term test together with the marking scheme and comments for each question. Please read the solutions and the marking schemes and comments carefully. Make sure that you understand why the solutions given
CSC373H1 Midterm Test—Solutions Fall 2019 Question 1. Network Flow [25 marks] Let N = (V , E) be a network with a set of nodes V and a set of directed edges E with integer capacities. Let F be the maximum flow value in N from node s to node t. Let P be a
CSC373 Week 2: Greedy Algorithms Nisarg Shah 373F20 – Nisarg Shah 1 Recap • Divide & Conquer ➢ Master theorem ➢ Counting inversions in 𝑂(𝑛 log 𝑛) ➢ Finding closest pair of points in R2 in 𝑂 𝑛 log 𝑛 ➢ Fast integer multiplication in 𝑂 𝑛log2 3 ➢ Fast matrix multiplication in 𝑂 𝑛log2
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CSC373 Week 3: Dynamic Programming Nisarg Shah 373F20 – Nisarg Shah 1 Recap • Greedy Algorithms ➢ Interval scheduling ➢ Interval partitioning ➢ Minimizing lateness ➢ Huffman encoding ➢… 373F20 – Nisarg Shah 2 Jeff Erickson on greedy algorithms… 373F20 – Nisarg Shah 3 The 1950s were not good years for mathematical research. We had
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CSC373 Algorithm Design, Analysis & Complexity Nisarg Shah 373F20 – Nisarg Shah 1 Introduction • Instructors ➢ Nisarg Shah o cs.toronto.edu/~nisarg, nisarg@cs, SF 2301C o LEC 0101 and 0102 • TAs: Too many to list • Disclaimer! Totally useless this semester! ➢ First online version of the course, so expect a bumpy ride at the
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CSC373 Week 4: Dynamic Programming (contd) Network Flow (start) Nisarg Shah 373F19 – Nisarg Shah 1 Recap • Dynamic Programming Basics ➢ Optimal substructure property ➢ Bellman equation ➢ Top-down (memoization) vs bottom-up implementations • Dynamic Programming Examples ➢ Weighted interval scheduling ➢ Knapsack problem ➢ Single-source shortest paths ➢ Chain matrix product ➢ Edit
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