Gradient Descent is a method to solve constraint satisfaction optimization problems with continuous domains. Which of the following is the closest analogue to gradient descent for discrete domains?a. Simulated annealingb. Genetic algorithmc. Greedy descentd. Random restart

When building customer relationships through email what should you not do? question 2 options: utilize proper grammar, spelling, and punctuation type in all capital letters use hyperlinks rather than attachments respond to all emails within 24 hours

Problem 1 - hashing we would like to use initials to locate an individual. for instance, mel should locate the person mark e. lehr. note: this is all upper case. generate a hash function for the above using the numbers on your telephone. you know, each letter has a number associated with it, so examine your telephone keypad. generate 512 random 3 letter initials and take statistics on a linked list array size 512 to hold this information report how many have no elements, 1 element, 2 elements, does this agree with the hashing statistics distribution?

How to launch an app: steps to be successful? launching an app is a great idea, but it’s not that easy as we supposed to think. the majority of mobile applications don’t generate revenue because companies aren’t ready to be competitive. referring to our experience in successfully building and launching apps we hope to you omit these difficulties. we are going to talk about ideas, marketing, testing your product, its development, distribution and support. you will learn 8 product launch stages to succeed.