Hw4 - Study guides, Class notes & Summaries
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HW4 Solution University of Michigan EECS 484
- Exam (elaborations) • 3 pages • 2023
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Question 1 (20 points) 
1.1) (6 points) 
Block Nested Loops Join 
(A) Reads = |R| + |S| * ceil(|R|/(B-2)) = 5,000 + 15,000 * ceil(5,000/(800-2)) = 110,000 
(B) Writes = 0 (no writes are required for nested loops joins) 
1.2) (7 points) 
Grace Hash Join 
(A) Reads in Partition phase = |R| + |S| = 20,000 
Reads in Probe phase = |R| + |S| = 20,000 
Total reads = 2 * (|R| + |S|) = 40,000 
(B) Total writes = |R| + |S| = 20,000 
1.3) (7 points) 
BNJ = 110,000 * 1 [reads; no writes] = 110,000 
GHJ = 40...
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HW4 Solution - F19 University of Michigan EECS 484
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Question 1 (20 points) 
2.1) (4 points) B - 1 buckets 
2.2) (4 points) Recursively apply hash-based projection technique to further split the buckets with 
different hash functions until no more partition overflow. 
2.3) (4 points) (B - 1)^2 buckets 
2.4) (4 points) Accelerate the record matching in memory or reduce CPU cost of record matching. 
2.5) (4 points) No. In the probing phase, using the same hash function will assign each data record into 
the same bucket. No speeding up for join in th...
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ISYE7406_HW4_2 ISyE7406–HOMEWORK 4Spring 2023
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ISyE7406 – HOMEWORK 4 
Spring 2023 
1. Introduction 
In this homework, we will examine how various local smoothing methods estimate the 
“Mexican hat function” at various points in the interval [-2π, 2π]. Using these methods, 
we will be able to better understand how bias, variance, and mean square error of these 
estimators perform given different spans, bandwidths, and local smoothing parameters. 
2. Exploratory Data Analysis 
The Mexican hat function is defined in the range [-2π, 2π...
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HW4 GNSS Exam Questions & Answers 2024
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HW4 GNSS Exam Questions & Answers 2024
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PHY 102 (Atoms to Galaxies), HW5, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW6, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW3, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW4, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW7, Bergfield Questio
- Exam (elaborations) • 85 pages • 2024
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PHY 102 (Atoms to Galaxies), HW5, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW6, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW3, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW4, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW7, Bergfield Questions And Answers
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6414 HW4 Peer Solutions
- Exam (elaborations) • 18 pages • 2023
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6414 HW4 Peer Solutions
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ISYE7406_HW4_2 All Answers are Correct>ISyE7406 – HOMEWORK 4 Spring 2023
- Exam (elaborations) • 20 pages • 2023
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ISyE7406 – HOMEWORK 4 
Spring 2023 
1. Introduction 
In this homework, we will examine how various local smoothing methods estimate the 
“Mexican hat function” at various points in the interval [-2π, 2π]. Using these methods, 
we will be able to better understand how bias, variance, and mean square error of these 
estimators perform given different spans, bandwidths, and local smoothing parameters. 
2. Exploratory Data Analysis 
The Mexican hat function is defined in the range [-2π, 2π...
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PHY 102 (Atoms to Galaxies), HW4, Bergfield (ISU)
- Exam (elaborations) • 7 pages • 2023
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PHY 102 (Atoms to Galaxies), HW4, Bergfield (ISU)
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PHY 102 STUDY BUNDLE WITH COMPELE SOLUTIONS
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Phy 102 Ch 12 Homework Questions And Answers
Phy 102 Ch 12 Homework Questions And Answers
PHY 102 (Atoms to Galaxies), HW5, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW6, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW3, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW4, Bergfield (ISU), PHY 102 (Atoms to Galaxies), HW7, Bergfield Questio
Phys
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EECS 484 F19 - Homework 4 University of Michigan EECS 484
- Exam (elaborations) • 4 pages • 2023
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EECS 484 F19 - Homework 4 
Deadline -- 6:00 PM on Tuesday, Nov 26th, 2019 
Deliverables: You need to submit all your solutions in a single PDF on Gradescope. 
Your solutions can be either handwritten or created electronically, as long as they are 
clear. 
This homework is to be done in teams of 2 students; individual work is permitted, but 
not recommended. Both members of each team will receive the same score; as such, it 
is not necessary for each team member to submit the assignment. 
Create ...
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