Methods and Philosophy of
Statistical Process Control
Statistical process control is a collection
of tools that when used together can
result in process stability and variability
reduction
Introduction to Statistical Quality Control,
4th Edition
The se
CHE 356/385P Optimization: Theory and Practice
Homework #4
(Due Date: 02/16/2017 at 8:00 am)
Problem 1 (U: 15pts./G:10 pts.)What method would you use to solve the following unconstrained optimization problems. Justify.
iii-
The objective function is quadr
CHE 356/385P Optimization: Theory and Practice
Homework #3
(Due Date: 02/9/2017 at 8:00 am)
Problem 1 (U:15 pts./G:10 pts.)By inspection of the following plots, classify the points (A, B, C) as (i) Stationary/ Non Stationary (ii) Local
Minimum/Strictly Lo
CHE 356/385P Optimization: Theory and Practice
Homework #1
(Due Date: 01/26/2017 at 8:00 am)
Problem 1 (U: 15 pts./G: 10 pts.)- The schematics (a) to (d) show the projection of mathematical
programs onto the continuous space (note that the level curves of
Estimation of Error
When calculating the expectation and variance of any nonlinear function of random variables, the function must be linearized first. The mean and variance computed from the linearized expressions are only approximate and apply only
Descriptive Statistics
Let x1 , x2 , . . . , xn be a sample. 1. Sample Mean x1 + x2 + . . . + xn = x= n 2. Sample Variance s =
2 n n=1
xi
n
(xi - x)2 = n-1
x2 - ( i n-1
Px )
i
2
n
3. Sample standard deviation s= s2
4. The average of all v
CHE 356/385P Optimization: Theory and Practice
Homework #2
(Due Date: 02/2/2017 at 8:00 am)
Problem 1 (U: 15 pts./G:10 pts.)Classify the following functions as,
i)
ii)
iii)
a)
b)
c)
d)
Continuous or Discontinuous
Differentiable or non-Differentiable
Conve