The janitor of a high school is extremely efficient. By the end of each day, all of the school's waste is in plastic bags weighing between 1.01 pounds and 3.00 pounds. All plastic bags are then taken to the trash bins outside. One trip is described as selecting a number of bags which together do not weigh more than 3.00 pounds, dumping them in the outside trash can and returning to the school. Given the number of plastic bags n, and the weights of each bag, determine the minimum number of trips the janitor has to make. For example, given n = 6 plastic bags weighing weight = [1.01, 1.99, 2.5, 1.5, 1.01], the janitor can carry all of the trash out in 3 trips: [1.01 + 1.99 , 2.5, 1.5 + 1.01]. Write a java program to implement efficient janitor and explain the time complexity of your code.

Geneva’s manager would like to see some additional information to make sales decisions.enter a formula in cell j4 using the if function to it whether or not the item beaded earrings should go on sale. it will go on sale if its current sales rank (in cell g4) is 8th or lower. (hint: if the cell value is greater than or equal to 8, it will go on sale.)if this condition is true, the item will go on sale. (hint: the if_true value should be “yes”.)if this condition is false, the item doesn’t need to go on sale. (hint: the if_false value should be “-”.)copy the formula created in cell j4 to the range j5: j14

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?

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?